We study the purchasing power parity (PPP) puzzle in a multi-sector, two-country, sticky-price model. Across sectors, firms differ in the extent of price stickiness, in accordance with recent microeconomic evidence on price setting in various countries. Combined with local currency pricing, this leads sectoral real exchange rates to have heterogeneous dynamics. We show analytically that in this economy, deviations of the real exchange rate from PPP are more volatile and persistent than in a counterfactual one-sector world economy that features the same average frequency of price changes, and is otherwise identical to the multi-sector world economy. When simulated with a sectoral distribution of price stickiness that matches the microeconomic evidence for the U.S. economy, the model produces a half-life of deviations from PPP of 39 months. In contrast, the half-life of such deviations in the counterfactual one-sector economy is only slightly above one year. As a by-product, our model provides a decomposition of this difference in persistence that allows a structural interpretation of the different approaches found in the empirical literature on aggregation and the real exchange rate. In particular, we reconcile the apparently conflicting findings that gave rise to the "PPP Strikes Back debate" (Imbs et al. 2005a,b and Chen and Engel 2005).

Housing is an important component of the consumption basket. Since both rental prices and goods prices are sticky, the literature suggests that optimal monetary policy should stabilize both types of prices, with the optimal weight on rental inflation proportional to the housing expenditure share. In a two-sector DSGE model with sticky rental prices and goods prices, however, we find that the optimal weight on rental inflation in the Taylor rule is small—much smaller than that implied by the housing expenditure share. Since production of housing services uses the stocks of housing intensively, large fluctuations in the price of housing stocks lead to large adjustments in reset rental prices. This weak strategic complementarity in rental price setting calls for a small optimal weight on rental price inflation.

We examine the determinants of issuance of yen-denominated international bonds over the period from 1990 through 2010. This period was marked by low Japanese interest rates that led some investors to pursue \carry trades," which consisted of funding investments in higher interest rate currencies with low interest rate, yen-denominated obligations. In principle, bond issuers that have exibility in their funding currency could also conduct a carry-trade strategy by funding in yen during this low interest rate period. We examine the characteristics of firms who appeared to have adopted this strategy using a data set containing almost 80,000 international bond issues. Our results suggest that there was a movement towards issuing in yen in the international bond markets starting in 2003, but this appears to have ended with the outbreak of the global financial crisis in 2007. Furthermore, the breakdown of carry-trade conditions in 2007 corresponds to a resurgence in the ability of economic fundamentals, such as the volume of trade with Japan, to explain the decision to issue international bonds denominated in yen.

We discover and document errors in public use microdata samples ("PUMS files") of the 2000 Census, the 2003-2006 American Community Survey, and the 2004-2009 Current Population Survey. For women and men ages 65 and older, age- and sex-specific population estimates generated from the PUMS files differ by as much as 15% from counts in published data tables. Moreover, an analysis of labor force participation and marriage rates suggests the PUMS samples are not representative of the population at individual ages for those ages 65 and over. PUMS files substantially underestimate labor force participation of those near retirement ages and overestimate labor force participation rates of those at older ages. These problems were an unintentional by-product of the misapplication of a newer generation of disclosure avoidance procedures carried out on the data. The resulting errors in the public use data could significantly impact studies of people ages 65 and older, particularly analyses of variables that are expected to change by age.

Discretionary policymakers cannot manage private-sector expectations and cannot coordinate the actions of future policymakers. As a consequence, expectations traps and coordination failures can occur and multiple equilibria can arise. To utilize the explanatory power of models with multiple equilibria it is first necessary to understand how an economy arrives to a particular equilibrium. In this paper, we employ notions of robustness, learnability, and the potential for coalitions to motivate and develop a suite of equilibrium selection criteria. Central among these criteria are whether the equilibrium is learnable by private agents and jointly learnable by private agents and the policymaker. We use two New Keynesian policy models to identify the strategic interactions that give rise to multiple equilibria and to illustrate our equilibrium selection methods. Importantly, although the Pareto-preferred equilibrium is invariably an equilibrium identified by standard numerical iterative solution methods, unless it is learnable by private agents, we find little reason to expect coordination on that equilibrium.

During the past decade, much new research has combined elements of finance, monetary economics, and macroeconomics in order to study the relationship between the term structure of interest rates and the economy. In this survey, I describe three different strands of such interdisciplinary macro-finance term structure research. The first adds macroeconomic variables and structure to a canonical arbitrage-free finance representation of the yield curve. The second examines bond pricing and bond risk premiums in a canonical macroeconomic dynamic stochastic general equilibrium model. The third developsa new class of arbitrage-free term structure models that are empirically tractable and well suited to macro-finance investigations.

The standard model of strategic tax competition . the non-cooperative tax-setting behavior of jurisdictions competing for a mobile capital tax base . assumes that government policymakers are perfectly benevolent, acting solely to maximize the utility of the representative resident in their jurisdiction. We depart from this assumption by allowing for the possibility that policymakers, given the political and electoral environments in which they operate, also may be influenced by the rent-seeking (lobbying) behavior of businesses. Firms recognize the factors affecting policymakers. welfare and may make campaign contributions to influence tax policy. These changes to the standard strategic tax competition model imply that business contributions affect not only the levels of equilibrium tax rates but also the slope of the tax reaction function between jurisdictions. Thus, business campaign contributions may affect tax competition and enhance or retard the mobility of capital across jurisdictions. Based on a panel of 48 U.S. states and unique data on business campaign contributions, our empirical work uncovers four key results. First, we document a significant direct effect of business contributions on tax policy. Second, the economic value of a $1 business campaign contribution in terms of lower state corporate taxes is nearly $4. Third, the slope of the reaction function between tax policy in a given state and the tax policies of its competitive states is negative. Fourth, we highlight the sensitivity of the empirical results to state effects.

Previous studies on financial frictions have been unable to establish the empirical significance of credit constraints in macroeconomic fluctuations. This paper argues that the muted impact of credit constraints stems from the absence of a mechanism to explain the observed persistent comovements between housing prices and business investment. We develop such a mechanism by incorporating two key features into a DSGE model: we identify shocks that shift the demand for collateral assets and we allow productive agents to be credit-constrained. A combination of these two features enables our model to successfully generate an empirically important mechanism that amplifies and propagates macroeconomic fluctuations through credit constraints.

We join the new trade theory with a model of choice between bank and bond financing to show the differential effects of financial policy on the distribution of firm size, welfare, aggregate output, gains from trade, and the real exchange rate in a small open economy. Increasing bank efficiency and reducing bond transaction costs both increase welfare but have opposite effects on the extensive margin of trade, aggregate exports, and the real exchange rate. Increasing the degree of trade openness increases firms. relative demand for bond versus bank financing. We identify a financial switching channel for gains from trade where increasing access to export markets allows firms to overcome high fixed costs of bond issuance to secure a lower marginal cost of capital.

In dynamic stochastic general equilibrium (DSGE) models, the household’s labor margin as well as consumption margin affects Arrow-Pratt risk aversion. This paper derives simple, closed-form expressions for risk aversion that take into account the household’s labor margin. Ignoring the labor margin can lead to wildly inaccurate measures of the household’s true attitudes toward risk. We show that risk premia on assets computed using the stochastic discount factor are proportional to Arrow-Pratt risk aversion, so that measuring risk aversion correctly is crucial for understanding asset prices. Closed-form expressions for risk aversion in DSGE models with generalized recursive preferences and internal and external habits are also derived.

We draw on stylized facts from the finance literature to build a model where altering the relative costs of bank and bond financing changes the entire distribution of firm size, with implications for the aggregate capital stock, output, and welfare. Reducing transactions costs in the bond market increases the output and profits of mid-sized firms at the expense of both the largest and smallest firms. In contrast, reducing the frictions involved in bank lending promotes the expansion of the smallest firms while all other firms shrink, even as it increases the profitability of both small and mid-size firms. Although both policies increase aggregate output and welfare, they have opposite effects on the extensive margin of production--promoting bond issuance causes exit while cheaper bank credit induces entry. When reducing transactions costs in one market, the resulting increase in output and welfare are largest when transactions costs in the other market are very high.

We examine how the economy responds to both disembodied and embodied technology shocks in a model with vintage capital. We focus on what happens when there is a change in the number of vintages of capital that are in use at any one time and on what happens when there is a change in the persistence of the shocks hitting the economy. The data suggest that these kinds of changes took place in the U.S. economy in the 1990s, when the pace of embodied technical progress appears to have accelerated. We find that embodied technology shocks lead to greater variability (of output, investment and labor allocations) than disembodied shocks of the same size. On the other hand, a decrease in the number of vintages in use at any time (such as is likely to occur when the pace of technical progress accelerates) tends to reduce the volatility of output and also to differentiate the initial response of the economy to the two shocks.

This paper reexamines the implications of the zero lower bound on interest rates for monetary policy and the optimal choice of steady-state inflation in light of the experience of the recent global recession. There are two main findings. First, the zero lower bound did not materially contribute to the sharp declines in output in the United States and many other economies through the end of 2008, but it is a significant factor slowing recovery. Model simulations imply that an additional 4 percentage points of rate cuts would have kept the unemployment rate from rising as much as it has and would bring the unemployment and inflation rates more quickly to steady-state values, but the zero bound precludes these actions. This inability to lower interest rates comes at the cost of $1.7 trillion of foregone output over four years. Second, if recent events are a harbinger of a significantly more adverse macroeconomic climate than experienced over the preceding two decades, then a 2 percent steady-state inflation rate may provide an inadequate buffer to keep the zero bound from having noticeable deleterious effects on the macroeconomy assuming the central bank follows the standard Taylor Rule. In such an adverse environment, stronger systematic countercyclical fiscal policy and/or alternative monetary policy strategies can mitigate the harmful effects of the zero bound with a 2 percent inflation target. However, even with such policies, an inflation target of 1 percent or lower could entail significant costs in terms of macroeconomic volatility.

We compare the ex ante observable risk characteristics and the default rates of securitized mortgage loans and mortgage loans retained by the original lender. We find that privately securitized loans tend to be riskier and to default at a faster rate than loans securitized with the GSEs and lender-retained loans. However, the differences in default rates across investor types are of secondary importance for explaining mortgage defaults compared to more conventional predictors, such as original loan-to-value ratios and the path for house prices. Privately securitized home mortages have conditionally higher expected returns than retained loans, suggesting the presence of risk factors that are unobservable but nonetheless at least partially acknowledged by the market.

This document describes the construction of and data sources for a state-level panel data set measuring output and factor use for the manufacturing sector. These data are a subset of a larger, comprehensive data set that we currently are constructing and hope to post on the FRBSF website in the near future. The comprehensive data set will cover the U.S. manufacturing sector and may be thought of as a state-level analog to other widely used productivity data sets such as the industry-level NBER Productivity Database or Dale Jorgenson's "KLEM" database or the country-level Penn World Tables, but with an added emphasis on adjusting prices for taxes. The selected variables currently available for public use are nominal and real gross output, nominal and real investment, and real capital stock. The data cover all fifty states and the period 1963 to 2006.

public_cwdata.dta - Stata public use Chirinko-Wilson state manufacturing panel data

public_cwdata.csv - CSV public use Chirinko-Wilson state manufacturing panel data

We study optimal exercise by mortgage borrowers of the option to default. Also, we use an equilibrium valuation model incorporating default to show how mortgage yields and lender recovery rates on defaulted mortgages depend on initial loan-to-value ratios when borrowers default optimally. The analysis treats both the frictionless case and the case in which borrowers and/or lenders incur deadweight costs upon default. The model is calibrated using data on California mortgages. We find that the model's principal testable implication for default and mortgage pricing--that default rates and yield spreads will be higher for high loan-to-value mortgages--is borne out empirically.

We present new measures of household-specific inflation experiences based on comprehensive information from the Consumer Expenditure Survey (CEX). We match households in the Interview and the Diary Surveys from the CEX to produce both complete and detailed pictures of household expenditures. The resulting household inflation measures are based on a more accurate and detailed description of household expenditures than those previously available. We find that our household-based inflation measures track aggregate measures such as the CPI-U quite well and that the addition of Diary Survey data induces small but significant differences in the measurement of household inflation. The distribution of inflation experiences across households exhibits a large amount of dispersion over the entire sample period. In addition, we uncover a significantly negative relationship between mean inflation and inflation inequality across households.

This paper models the causes of the 2008 financial crisis together with its manifestations, using a Multiple Indicator Multiple Cause (MIMIC) model. Our analysis is conducted on a cross-section of 85 countries; we focus on international linkages that may have allowed the crisis to spread across countries. Our model of the cross-country incidence of the crisis combines 2008 changes in real GDP, the stock market, country credit ratings, and the exchange rate. We explore the linkages between these manifestations of the crisis and a number of its possible causes from 2006 and earlier. The causes we consider are both national (such as equity market run-ups that preceded the crisis) and, critically, international financial and real linkages between countries and the epicenter of the crisis. We consider the United States to be the most natural origin of the 2008 crisis, though we also consider six alternative sources of the crisis. A country holding American securities that deteriorate in value is exposed to an American crisis through a financial channel. Similarly, a country which exports to the United States is exposed to an American downturn through a real channel. Despite the fact that we use a wide number of possible causes in a flexible statistical framework, we are unable to find strong evidence that international linkages can be clearly associated with the incidence of the crisis. In particular, countries heavily exposed to either American assets or trade seem to behave little differently than other countries; if anything, countries seem to have benefited slightly from American exposure.

This paper models the causes of the 2008 financial crisis together with its manifestations, using a Multiple Indicator Multiple Cause (MIMIC) model. Our analysis is conducted on a cross-section of 107 countries; we focus on national causes and consequences of the crisis, ignoring crosscountry “contagion” effects. Our model of the incidence of the crisis combines 2008 changes in real GDP, the stock market, country credit ratings, and the exchange rate. We explore the linkages between these manifestations of the crisis and a number of its possible causes from 2006 and earlier. We include over sixty potential causes of the crisis, covering such categories as: financial system policies and conditions; asset price appreciation in real estate and equity markets; international imbalances and foreign reserve adequacy; macroeconomic policies; and institutional and geographic features. Despite the fact that we use a wide number of possible causes in a flexible statistical framework, we are unable to link most of the commonly-cited causes of the crisis to its incidence across countries. This negative finding in the cross-section makes us skeptical of the accuracy of “early warning” systems of potential crises, which must also predict their timing.

How should monetary authorities react to an oil price shock? The New Keynesian literature has concluded that ensuring complete price stability is the optimal thing to do. In contrast, this paper argues that a meaningful trade-off between stabilizing inflation and the welfare relevant output gap arises in a distorted economy once one recognizes (i) that oil (energy) cannot be easily substituted by other factors in the short-run, (ii) that there is no fiscal transfer available to policymakers to neutralize the steady-state distortion due to monopolistic competition, and (iii) that increases in oil prices also directly affect consumption by raising the price of fuel, heating oil, and other energy sources. While the first two conditions are necessary to introduce a microfounded monetary policy trade-off, the third one makes it quantitatively significant. The optimal precommitment monetary policy relies on unobservables and is therefore hard to implement. To address this concern, I derive a simple interest rate feedback rule that mimics the optimal plan in all relevant dimensions but that depends only on observables, namely core inflation, oil price inflation, and the growth rate of output.

In this paper, we derive a linear-quadratic model for monetary policy analysis that is consistent with sticky prices and search and matching frictions in the labor market. We show that the second-order approximation to the welfare of the representative agent depends on inflation and "gaps" that involve current and lagged unemployment. Our approximation makes explicit how the costs of fluctuations are generated by the presence of search frictions. These costs are distinct from the costs associated with relative price dispersion and fluctuations in consumption that appear in standard new Keynesian models. We use the model to analyze optimal monetary policy under commitment and discretion and to show that the structural characteristics of the labor market have important implications for optimal policy.

We examine the impact of foreign underwriting activity on bond markets using issuelevel data in the Japanese "Samurai" and euro-yen bond markets. Firms choosing Japanese underwriters tend to be Japanese, riskier, and smaller. We find that Japanese underwriting fees, while higher overall on average, are actually lower after conditioning for issuer characteristics. Moreover, firms tend to sort properly in their choice of underwriter, in the sense that a switch in underwriter nationality would be predicted to result in an increase in underwriting fees. Finally, we conduct a matching exercise to examine the 1995 liberalization of foreign access to the "Samurai" bond market, using yen-denominated issues in the euro-yen market as a control. Foreign entry led to a statistically and economically significant decrease in underwriting fees in the Samurai bond market, as spreads fell by an average of 23 basis points. Overall, our results suggest that the market for underwriting services is partially segmented by nationality, as issuers appear to have preferred habitats, but entry increases market competition.

In response to the global financial crisis that started in August 2007, central banks provided extraordinary amounts of liquidity to the financial system. To investigate the effect of central bank liquidity facilities on term interbank lending rates, we estimate a six-factor arbitrage-free model of U.S. Treasury yields, financial corporate bond yields, and term interbank rates. This model can account for fluctuations in the term structure of credit risk and liquidity risk. A significant shift in model estimates after the announcement of the liquidity facilities suggests that these central bank actions did help lower the liquidity premium in term interbank rates.

We explore the distortions in business cycle models arising from inefficiencies in price setting and in the search process matching firms to unemployed workers, and the implications of these distortions for monetary policy. To this end, we characterize the tax instruments that would implement the first best equilibrium allocations and then examine the trade-offs faced by monetary policy when these tax instruments are unavailable. Our findings are that the welfare cost of search inefficiency can be large, but the incentive for policy to deviate from the inefficient flexible-price allocation is in general small. Sizable welfare gains are available if the steady state of the economy is inefficient, and these gains do not depend on the existence of an inefficient dispersion of wages. Finally, the gains from deviating from price stability are larger in economies with more volatile labor flows, as in the U.S.

By many objective measures the lives of women in the United States have improved over the past 35 years, yet we show that measures of subjective well-being indicate that women’s happiness has declined both absolutely and relative to men. The paradox of women’s declining relative well-being is found across various datasets, measures of subjective well-being, and is pervasive across demographic groups and industrialized countries. Relative declines in female happiness have eroded a gender gap in happiness in which women in the 1970s typically reported higher subjective well-being than did men. These declines have continued and a new gender gap is emerging—one with higher subjective well-being for men.

This paper uses data from surveys of expected inflation to learn how expectations processes have changed following recent changes in the behavior of inflation. Households do not appear to have recognized the change in the process, and are placing substantially more weight than appears warranted on recent inflation data when forming expectations about inflation over the next year. At first glance, professional forecasters do appear to have changed how they predict inflation. But a closer look at the data reveals that professionals are relying on core rather than headline inflation, and are placing too much weight on recent core inflation data. These errors show up in a noticeable (absolute and relative) deterioration in the forecast accuracy of both households and professionals.

Identifying productivity and real demand shocks in the US with sign restrictions based on standard theory, we provide evidence on real and financial channels of their international propagation. Productivity gains in US manufacturing have substantial macroeconomic effects, raising US consumption, investment and the terms of trade, relative to the rest of the world, while lowering US net exports. Significant international …nancial adjustment occurs via a rise in the global value of the US stock market, portfolio shifts in US foreign assets and liabilities, and especially real dollar appreciation. Positive demand shocks to US manufacturing also lead to real appreciation and raise investment, but have otherwise limited effects on trade flows. This evidence suggests a fundamental role of cross-country endogenous demand and wealth movements in shaping international macroeconomic interdependence.

Over the past few decades, policy makers have considered employer mandates as a strategy for stemming the tide of declining health insurance coverage. In this paper we examine the long term effects of the only employer health insurance mandate that has ever been enforced in the United States, Hawaii's Prepaid Health Care Act, using a standard supply-demand framework and Current Population Survey data covering the years 1979 to 2005. During this period, the coverage gap between Hawaii and other states increased, as did real health insurance costs, implying a rising burden of the mandate on Hawaii's employers. We use a variant of the traditional permutation (placebo) test across all states to examine the magnitude and statistical properties of these growing coverage differences and their impacts on labor market outcomes, conditional on an extensive set of covariates. As expected, the coverage gap is larger for workers who tend to have low rates of coverage in the voluntary market (primarily those with lower skills). We also find that relative wages fell in Hawaii over time, but the estimates are statistically insignificant. By contrast, a parallel analysis of workers employed fewer than 20 hours per week indicates that the law significantly increased employers' reliance on such workers in order to reduce the burden of the mandate. We find no evidence suggesting that the law reduced employment probabilities.

Regional inequality in China appears to be persistent and even growing in the past two decades. We study potential offsetting factors and interprovincial migration to shed light on the sources of this persistence. We find that some of the inequality could be attributed to differences in quality of labor, industry composition, and geographical location of provinces. We also demonstrate that interprovincial migration, while driven in part by wage differences across provinces, does not offset these differences. Finally, we find that interprovincial redistribution did not help offset regional inequality during our sample period.

Economists are skeptical about the economic benefits of hosting "mega-events" such as the Olympic Games or the World Cup, since such activities have considerable cost and seem to yield few tangible benefits. These doubts are rarely shared by policymakers and the population, who are typically quite enthusiastic about such spectacles. In this paper, we reconcile these positions by examining the economic impact of hosting mega-events like the Olympics; we focus on trade. Using a variety of trade models, we show that hosting a mega-event like the Olympics has a positive impact on national exports. This effect is statistically robust, permanent, and large; trade is around 30% higher for countries that have hosted the Olympics. Interestingly however, we also find that unsuccessful bids to host the Olympics have a similar positive impact on exports. We conclude that the Olympic effect on trade is attributable to the signal a country sends when bidding to host the games, rather than the act of actually holding a mega-event. We develop a political economy model that formalizes this idea, and derives the conditions under which a signal like this is used by countries wishing to liberalize.

Potential output is an important concept in economics. Policymakers often use a one-sector neoclassical model to think about long-run growth, and often assume that potential output is a smooth series in the short run--approximated by a medium- or long-run estimate. But in both the short and long run, the one-sector model falls short empirically, reflecting the importance of rapid technical change in producing investment goods; and few, if any, modern macroeconomic models would imply that, at business cycle frequencies, potential output is a smooth series. Discussing these points allows us to discuss a range of other issues that are less well understood, and where further research could be valuable.

We provide a set of comparable estimates for the rates of inflow to and outflow from unemployment for 14 OECD economies using publicly available data. We then devise a method to decompose changes in unemployment into contributions accounted for by changes in inflow and outflow rates for cases where unemployment deviates from its flow steady state, as it does in many countries. Our decomposition reveals that fluctuations in both inflow and outflow rates contribute substantially to unemployment variation within countries. For Anglo-Saxon economies we find approximately a 20:80 inflow/outflow split to unemployment variation, while for Continental European and Nordic countries, we observe much closer to a 50:50 split. Using the estimated flow rates we compute gross worker flows into and out of unemployment. In all economies we observe that increases in inflows lead increases in unemployment, whereas outflows lag a ramp up in unemployment.

UnemploymentDynamicsInTheOECD.xls - Replication file

w14617 - NBER Working paper 14617 - version

We construct a price index with weights on the prices of different PCE goods chosen to minimize the welfare costs of nominal distortions: a cost-of-nominal-distortions index (CONDI). We compute these weights in a multisector New Keynesian model with time-dependent price setting, calibrated using U.S. data on the dispersion of price stickiness and labor shares across sectors. We find that the CONDI weights mostly depend on price stickiness and are less affected by the dispersion in labor shares. Moreover, CONDI stabilization leads to negligible welfare losses compared to the optimal policy and is better approximated by core rather than headline inflation targeting. An even better approximation of the CONDI can be obtained with an adjusted core index that covers total expenditures excluding autos, clothing, energy, and food at home, but that includes food away from home.

Managing the credit risk inherent to a corporate credit line is similar to that of a term loan, but with one key difference. For both instruments, the bank should know the borrower's probability of default (PD) and the facility's loss given default (LGD). However, since a credit line allows the borrowers to draw down the committed funds according to their own needs, the bank must also have a measure of the line's exposure at default (EAD). Our study, which is based on a census of all corporate lending within Spain over the last 20 years, provides the most comprehensive overview of corporate credit line use and EAD calculations to date. Our analysis shows that defaulting firms have significantly higher credit line usage rates and EAD values up to five years prior to their actual default. Furthermore, we find that there are important variations in EAD values due to credit line size, collateralization, and maturity. While our results are derived from data for a single country, they should provide useful benchmarks for further academic, business and policy research into this underdeveloped area of credit risk management.

We study the sources of the Great Moderation by estimating a variety of medium-scale DSGE models that incorporate regime switches in shock variances and in the inflation target. The best-fit model, the one with two regimes in shock variances, gives quantitatively different dynamics in comparison with the benchmark constant-parameter model. Our estimates show that three kinds of shocks accounted for most of the Great Moderation and business-cycle fluctuations: capital depreciation shocks, neutral technology shocks, and wage markup shocks. In contrast to the existing literature, we find that changes in the inflation target or shocks in the investment-specific technology played little role in macroeconomic volatility. Moreover, our estimates indicate much less nominal rigidities than those suggested in the literature.

Consumption-habits have become an integral component in new Keynesian models. However, consumption-habits can be modeled in a host of different ways and this diversity is reflected in the literature. I examine whether different approaches to modeling consumption habits have important implications for business cycle behavior. Using a standard new Keynesian business cycle model, I show that, to a first-order log-approximation, the consumption Euler equation associated with the additive functional form for habit formation encompasses the multiplicative function form. Empirically, I show that whether consumption habits are internal or external has little effect on the model's business cycle characteristics.

Differences between yields on comparable-maturity U.S. Treasury nominal and real debt, the so-called breakeven inflation (BEI) rates, are widely used indicators of inflation expectations. However, better measures of inflation expectations could be obtained by subtracting inflation risk premiums from the BEI rates. We provide such decompositions using an estimated affine arbitrage-free model of the term structure that captures the pricing of both nominal and real Treasury securities. Our empirical results suggest that long-term inflation expectations have been well anchored over the past few years, and inflation risk premiums, although volatile, have been close to zero on average.

This paper presents statistical analysis supporting stylized facts about sovereign wealth funds (SWFs). It discusses the forces leading to the growth of SWFs, including the role of fuel exports and ongoing current account surpluses, and large hoarding of international reserves. It analyzes the degree to which measures of SWF governance and transparency compare with national norms of behavior. We provide evidence that many countries with SWFs are characterized by effective governance but weak democratic institutions, as compared to other nonindustrial countries. We also present a model with which we compare the optimal degree of diversification abroad by a central bank versus that of a sovereign wealth fund. We show that if the central bank manages its foreign assets with the objective of reducing the probability of sudden stops, it will place a high weight on the downside risk of holding risky assets abroad and will tend to hold primarily safe foreign assets. In contrast, if the sovereign wealth fund, acting on behalf of the Treasury, maximizes the expected utility of a representative domestic agent, it will opt for relatively greater holding of more risky foreign assets. We discuss how the degree of a country's transparency may affect the size of the foreign asset base entrusted to a wealth fund's management, and show that, for relatively low levels of public foreign assets, assigning portfolio management independence to the central bank may be advantageous. However, for a large enough foreign asset base, the opportunity cost associated with the limited portfolio diversification of the central bank induces authorities to establish a wealth fund in pursuit of higher returns.

In recent years China has faced an increasing trilemma--how to pursue an independent domestic monetary policy and limit exchange rate flexibility, while at the same time facing large and growing international capital flows. This paper analyzes the impact of the trilemma on China's monetary policy as the country liberalizes its goods and financial markets and integrates with the world economy. It shows how China has sought to insulate its reserve money from the effects of balance of payments inflows by sterilizing through the issuance of central bank liabilities. However, we report empirical results indicating that sterilization dropped precipitously in 2006 in the face of the ongoing massive buildup of international reserves, leading to a surge in reserve money growth. We estimate a vector error correction model linking the surge in China's reserve money to broad money, real GDP, and the price level. We use this model to explore the inflationary implications of different policy scenarios. Under a scenario of continued rapid reserve money growth (consistent with limited sterilization of foreign exchange reserve accumulation) and strong economic growth, the model predicts a rapid increase in inflation. A model simulation using an extension of the framework that incorporates recent increases in bank reserve requirements also implies a rapid rise in inflation. By contrast, model simulations incorporating a sharp slowdown in economic growth lead to less inflation pressure even with a substantial buildup in international reserves.

The term premium on nominal long-term bonds in the standard dynamic stochastic general equilibrium (DSGE) model used in macroeconomics is far too small and stable relative to empirical measures obtained from the data--an example of the "bond premium puzzle." However, in models of endowment economies, researchers have been able to generate reasonable term premiums by assuming that investors have recursive Epstein-Zin preferences and face long-run economic risks. We show that introducing Epstein-Zin preferences into a canonical DSGE model can also produce a large and variable term premium without compromising the model's ability to fi…t key macroeconomic variables. Long-run real and nominal risks further improve the model's ability to …fit the data with a lower level of household risk aversion.

A commonly held view is that nominal rigidities are important for the transmission of monetary policy shocks. We argue that they are also important for understanding the dynamic effects of technology shocks, especially on labor hours, wages, and prices. Based on a dynamic general equilibrium framework, our closed-form solutions reveal that a pure sticky-price model predicts correctly that hours decline following a positive technology shock, but fails to generate the observed gradual rise in the real wage and the near-constance of the nominal wage; a pure sticky-wage model does well in generating slow adjustments in the nominal wage, but it does not generate plausible dynamics of hours and the real wage. A model with both types of nominal rigidities is more successful in replicating the empirical evidence about hours, wages and prices. This finding is robust for a wide range of parameter values, including a relatively small Frisch elasticity of hours and a relatively high frequency of price reoptimization that are consistent with microeconomic evidence.

Between 1992 and 2002, the Japanese Import Price Index (IPI) registered a decline of almost 9 percent and Japan entered a period of deflation. We show that much of the correlation between import prices and domestic prices was due to formula biases. Had the IPI been computed using a pure Laspeyres index like the CPI, the IPI would have hardly moved at all. A Laspeyres version of the IPI would have risen 1 percentage point per year faster than the official index. Second we show that Chinese prices did not behave differently from the prices of other importers. Although Chinese prices are substantially lower than the prices of other exporters, they do not exhibit a differential trend. However, we estimate that the typical price per unit quality of a Chinese exporter fell by half between 1992 and 2005. Thus the explosive growth in Chinese exports is attributable to growth in the quality of Chinese exports and the increase in new products being exported by China.

This paper provides a detailed overview of China's participation in international trade using newly available data on the universe of globally engaged Chinese firms over the 2003-2005 period. We document the distribution of trade flows and product- and trade-partner intensity across both exporting and importing firms and study the relationship between firms' intensive and extensive margins of trade. We also compare trade patterns across firms of different organizational structure, distinguishing between domestic private firms, domestic state‐owned firms, foreign-owned firms, and joint ventures. We explore the variation in foreign ownership across sectors, and find results consistent with recent theoretical and empirical work on the role of credit constraints and contractual imperfections in international trade and investment. Finally, we examine the rapid expansion of China's trade over the 2003-2005 period, and decompose it into its extensive and intensive margins. We also use monthly data and study the frequent churning and reallocation of trade flows across firms and across products and trade partners within firms.

Why are foreigners willing to invest almost $2 trillion per year in the United States? The answer affects if the existing pattern of global imbalances can persist and if the United States can continue to finance its current account deficit without a major change in asset prices and returns. This paper tests various hypotheses and finds that standard portfolio allocation models and diversification motives are poor predictors of foreign holdings of U.S. liabilities. Instead, foreigners hold greater shares of their investment portfolios in the United States if they have less-developed financial markets. The magnitude of this effect decreases with income per capita. Countries with fewer capital controls and greater trade with the United States also invest more in U.S. equity and bond markets, and there is no evidence that foreigners invest in the United States based on diversification motives. The empirical results showing a primary role of financial market development in driving foreign purchases of U.S. portfolio liabilities supports recent theoretical work on global imbalances.

We explore the implications of current account adjustment for monetary policy within a simple two country SGE model. Our framework nests Obstfeld and Rogoff's (2005) static model of exchange rate responsiveness to current account reversals. It extends this approach by endogenizing the dynamic adjustment path and by incorporating production and nominal price rigidities in order to study the role of monetary policy. We consider two different adjustment scenarios. The first is a "slow burn" where the adjustment of the current account deficit of the home country is smooth and slow. The second is a "fast burn" where, owing to a sudden shift in expectations of relative growth rates, there is a rapid reversal of the home country's current account. We examine several different monetary policy regimes under each of these scenarios. Our principal finding is that the behavior of the domestic variables (for instance, output, inflation) is quite sensitive to the monetary regime, while the behavior of the international variables (for instance, the current account and the real exchange rate) is less so. Among different policy rules, domestic inflation targeting achieves the best stabilization outcome of aggregate variables. This result is robust to the presence of imperfect pass-through on import prices, although in this case stabilization of consumer price inflation performs similarly well.

Recent models of international equity portfolios exhibit two potential weaknesses: (1) the structure of equilibrium equity portfolios is determined by the correlation of equity returns with real exchange rates, yet empirically equities don't appear to be a good hedge against real exchange rate risk; (2) Equity portfolios are highly sensitive to preference parameters. This paper solves both problems. It first shows that, in more general and realistic environments, the hedging of real exchange rate risks occurs through international bond holdings since relative bond returns are strongly correlated with real exchange rate fluctuations. Equilibrium equity positions are then optimally determined by the correlation of equity returns with the return on nonfinancial wealth, conditional on the bond returns. The model delivers equilibrium portfolios that are well-behaved as a function of the underlying preference parameters. We find reasonable empirical support for the theory for G-7 countries. We are able to explain short positions in domestic currency bonds for all G-7 countries, as well as significant levels of home equity bias for the U.S., Japan, and Canada.

Fixed transaction costs and delivery lags are important costs of international trade. These costs lead firms to import infrequently and hold substantially larger inventories of imported goods than domestic goods. Using multiple sources of data, we document these facts. We then show that a parsimoniously parameterized model economy with importers facing an (S, s)-type inventory management problem successfully accounts for these features of the data. Moreover, the model can account for import and import price dynamics in the aftermath of large devaluations. In particular, desired inventory adjustment in response to a sudden, large increase in the relative price of imported goods creates a short-term trade implosion, an immediate, temporary drop in the value and number of distinct varieties imported, as well as a slow increase in the retail price of imported goods. Our study of six current account reversals following large devaluation episodes in the last decade provide strong support for the model's predictions.

South Korea's growth miracle has been well documented. A large set of institutional and policy reforms in the early 1960s is thought to have contributed to the country's extraordinary performance. In this paper, we assess the importance of one key set of policies, the trade policy reforms in Korea, as well as the concurrent GATT tariff reductions. We develop a model of neoclassical growth and trade that highlights two forces by which lower trade barriers can lead to increased per worker GDP: comparative advantage and specialization, and capital accumulation. We calibrate the model and simulate the effects of three sets of tariff reductions that occurred between the early 1962 and 1995. Our main finding is that the model can explain up to 32 percent of South Korea's catch-up to the G7 countries in output per worker in the manufacturing sector. We find that the effects of the tariff reductions taken together are about twice as large as the sum of each reduction applied individually.

This paper addresses two substantive issues: (1) Does the magnitude of the expectation effect of regime switching in monetary policy depend on a particular policy regime? (2) Under which regime is the expectation effect quantitatively important? Using two canonical DSGE models, we show that there exists asymmetry in the expectation effect across regimes. The expectation effect under the dovish policy regime is quantitatively more important than that under the hawkish regime. These results suggest that the possibility of regime shifts in monetary policy can have important effects on rational agents' expectation formation and on equilibrium dynamics. They offer a theoretical explanation for the empirical possibility that a policy shift from the dovish regime to the hawkish regime may not be the main source of substantial reductions in the volatilities of inflation and output.

The monetary policy literature assumes increasingly that policies are formulated according to the timeless perspective (Woodford, 1999a). However, treating the auxiliary state variables that characterize the timeless perspective equilibrium appropriately when evaluating policy performance, this paper shows that discretionary policymaking can be superior to timeless perspective policymaking and identifies model features that make this outcome more likely. Using standard New Keynesian DSGE models, discretion is found to dominate timeless perspective policymaking when the price/wage Phillips curves are relatively flat, due, perhaps, to firm-specific capital (or labor) and/or Kimball (1995) aggregation in combination with nominal rigidities. These results suggest that studies applying the timeless perspective might also usefully compare its performance to discretion, paying careful attention to how policy performance is evaluated.

We make use of micro-level data for over 45,000 private bond issues by over 5000 firms from 22 countries in 1990-2006 to analyze the impact that the launch of the EMU had on their currency denomination. The use of the micro data allows us to isolate the "euro effect" on new and seasoned bond issuers while conditioning on individual issue characteristics. To our knowledge, ours is the first systematic analysis of this topic at the micro level. We find that the impact on new issuers is larger than on seasoned issuers and that most of the increase in the euro-denominated bond issuance by seasoned borrowers was along the "extensive" margin, i.e. borrowers switching currency denomination of their issues. Insofar as new entrants to the bond market will define the overall currency composition in the long run, these results imply that aggregate studies might be underestimating the euro effect. We also find that to a large extent the increase in euro issuance was "at the expense" of U.S. dollar issuance, suggesting that euro competes with the U.S. dollar as a currency of choice for international financial transactions.

The use of subjective well-being (SWB) data for investigating the nature of individual preferences has increased tremendously in recent years. There has been much debate about the cross-sectional and time series patterns found in these data, particularly with respect to the relationship between SWB and relative status. Part of this debate concerns how well SWB data measures true utility or preferences. In a recent paper, Daly, Wilson, and Johnson (2007) propose using data on suicide as a revealed preference (outcome-based) measure of well-being and find strong evidence that reference-group income negatively affects suicide risk. In this paper, we compare and contrast the empirical patterns of SWB and suicide data. We find that the two have very little in common in aggregate data (time series and cross-sectional), but have a strikingly strong relationship in terms of their determinants in individual-level, multivariate regressions. This latter result cross-validates suicide and SWB micro data as useful and complementary indicators of latent utility.

This study explores the macroeconomic implications of adaptive expectations in a standard growth model. We show that the self-confirming equilibrium under adaptive expectations is the same as the steady state rational expectations equilibrium for all admissible parameter values, but that dynamics around the steady state are substantially different between the two equilibria. The differences are driven mainly by the dampened wealth effect and the strengthened intertemporal substitution effect, not by escapes emphasized by Williams (2003). Consequently, adaptive expectations can be an important source of frictions that amplify and propagate technology shocks and seem promising for generating plausible labor market dynamics.

Previous research suggests that loan officers play a critical role in relationship lending by producing soft information about SMEs. For the first time, we empirically confirm this hypothesis We also examine whether the role of loan officers differs from small to large banks as predicted by Stein (2002). While we find that small banks produce more soft information, the capacity and manner in which loan officers produce soft information does not seem to differ between large and small banks. This suggests that, although large banks may produce more soft information, they likely tend to concentrate their resources on transactions lending.

This paper assesses whether partial exchange rate pass-through to trade prices has important implications for the prospective adjustment of global external imbalances. To address this question, we develop and estimate an open-economy DGE model in which pass-through is incomplete due to the presence of local currency pricing, distribution services, and a variable demand elasticity that leads to fluctuations in optimal markups. We find that the overall magnitude of trade adjustment is similar in a low and high pass-through world with more adjustment in a low pass-through world occurring through a larger response of the exchange rate and terms of trade rather than real trade flows.

This paper investigates the changing pattern and efficacy of sterilization within emerging market countries as they liberalize markets and integrate with the world economy. We estimate the marginal propensity to sterilize foreign asset accumulation associated with net balance of payments inflows, across countries and over time. We find that the extent of sterilization of foreign reserve inflows has risen in recent years to varying degrees in Asia as well as in Latin America, consistent with greater concerns about the potential inflationary impact of reserve inflows. We also find that sterilization depends on the composition of balance of payments inflows.

Modern corporate finance theory argues that although bank monitoring is beneficial to borrowers, it also allows banks banks to use the private information they gain through monitoring to "hold-up" borrowers for higher interest rates. In this paper, we seek empirical evidence for this information hold-up cost. Since new information about a firm's credit-worthiness is revealed at the time of its first issue in the public bond market, it follows that after firms undertake their bond IPO, banks with an exploitable information advantage will be forced to adjust their loan interest rates downwards, particularly for firms that are revealed to be safe. Our findings show that firms are able to borrow from banks at lower interest rates after they issue for the first time in the public bond market and that the magnitude of these savings is larger for safer firms. We further find that among safe firms, those that get their first credit rating at the time of their bond IPO benefit from larger interest rate savings than those that already had a credit rating when they entered the bond market. Since more information is revealed at the time of the bond IPO on the former firms and since this information will increase competition from uninformed banks, these findings provide support for the hypothesis that banks price their informational monopoly. Finally, we find that while entering the public bond market may reduce these informational rents, it is costly to firms because they have to pay higher underwriting costs on their IPO bonds. Moreover, IPO bonds are subject to more underpricing than subsequent bonds when they first trade in the secondary bond market.

Recent research suggests that there has been a decline in the extent to which firms "pass through" changes in exchange rates to prices. Beyond providing further evidence in support of this claim, this paper proposes an explanation for the phenomenon. It then presents empirical evidence of a structural break during the 1990s in the relationship between the real exchange rate and CPI inflation for a set of 14 OECD countries. It is suggested that the recent reduction in the real exchange rate pass-through can be attributed in part to the low-inflation environment of the 1990s.

We use a hedonic framework to estimate and simulate the impact of global warming on real estate prices at North American ski resorts. To do so, we combine data on resort-area housing values from two sources--data on average values for U.S. Census tracts across a broad swath of the western U.S. and data on individual home sales for four markets in the western U.S. and Canada, each available over multiple decades--with detailed weather data and characteristics of ski resorts in those areas. Our OLS and fixed-effects models of changes in home values with respect to medium-run changes in the share of snowfall in winter precipitation yield precise and consistent estimates of positive snowfall effects on housing values in both data sources. We use our estimates to simulate the impact of likely climate shifts on home values in coming decades and find substantial variation across resort areas based on climatic characteristics such as longitude, elevation, and proximity to the Pacific Ocean. Resorts that are unfavorably located face likely large negative effects on home prices due to warming, unless adaptive measures are able to compensate for the deterioration of conditions in the ski industry.

A number of studies have recently noted that monetary integration in the European Monetary Union (EMU) has been accompanied by increased financial integration. This paper examines the channels through which monetary union increased financial integration, using international panel data on bilateral international commercial bank claims from 1998-2006. I decompose the relative increase in bilateral commercial bank claims among union members following monetary integration into three possible channels: A "borrower effect," as a country's EMU membership may leave its borrowers more creditworthy in the eyes of foreign lenders; a "creditor effect," as membership in a monetary union may increase the attractiveness of a nation's commercial banks as intermediaries, perhaps through increased scale economies enjoyed by commercial banks themselves or through an improved regulatory environment after the advent of monetary union; and a "pairwise effect," as joint membership in a monetary union increases the quality of intermediation between borrowers and creditors when both are in the same union. This pairwise effect could be attributed to mitigated currency risk stemming from monetary integration, but may also indicate that monetary union integration increases borrowing capacity. I decompose the data into a series of difference-in-differences specifications to isolate these three channels and find that the pairwise effect is the primary source of increased financial integration. This result is robust to a number of sensitivity exercises used to address concerns frequently associated with difference-in-differences specifications, such as serial correlation and issues associated with the timing of the intervention.

The literature appears to have reached a consensus that financial globalization has had a "disciplining effect" on monetary policy, as it has reduced the returns from--and hence the temptation for--using monetary policy to stabilize output. As a result, monetary policy over recent years has placed more emphasis on stabilizing inflation, resulting in reduced inflation and greater output stability. However, this consensus has not been accompanied by convincing empirical evidence that such a relationship exists. One reason is likely to be that de facto measures of financial globalization are endogenous, and that instruments for financial globalization are elusive. In this paper, I introduce a new instrument, financial remoteness, as a plausibly exogenous instrument for financial openness. I examine the relationship between financial globalization and median inflation levels over an 11 year cross-section from 1994 through 2004, as well as a panel of 5-year median inflation levels between 1980 and 2004. The results confirm a negative relationship between median inflation and financial globalization in the base specification, but this relationship is sensitive to the inclusion of conditioning variables or country fixed effects, precluding any strong inferences.

This paper examines the robustness characteristics of optimal control policies derived under the assumption of rational expectations to alternative models of expectations formation and uncertainty about the natural rates of interest and unemployment. We assume that agents have imperfect knowledge about the precise structure of the economy and form expectations using a forecasting model that they continuously update based on incoming data. We also allow for central bank uncertainty regarding the natural rates of interest and unemployment. We find that the optimal control policy derived under the assumption of perfect knowledge about the structure of the economy can perform poorly when knowledge is imperfect. These problems are exacerbated by natural rate uncertainty, even when the central bank's estimates of natural rates are efficient. We show that the optimal control approach can be made more robust to the presence of imperfect knowledge by deemphasizing the stabilization of real economic activity and interest rates relative to inflation in the central bank loss function. That is, robustness to the presence of imperfect knowledge about the economy provides an incentive to employ a "conservative" central banker. We then examine two types of simple monetary policy rules from the literature that have been found to be robust to model misspecification in other contexts. We find that these policies are robust to the alternative models of learning that we study and natural rate uncertainty and outperform the optimal control policy and generally perform as well as the robust optimal control policy that places less weight on stabilizing economic activity and interest rates.

This paper develops a general equilibrium model to examine the consequences of technology-driven asset price bubbles for capital accumulation, growth, and welfare. Equity prices in the model exhibit "excess volatility" because speculative agents overreact to observed technology shocks. I show that this behavior tends to be self-confirming, particularly when temporary technology innovations are perceived to be permanent. In model simulations, speculative behavior gives rise to intermittent equity price bubbles that coincide with positive innovations in technology, investment and consumption booms, and faster trend growth, reminiscent of the U.S. economy during the late 1920s and late 1990s. The welfare cost of speculation (relative to rational behavior) depends crucially on parameter values. Speculation can improve welfare if risk aversion is low and agents underinvest relative to the socially optimal level. But for higher levels of risk aversion, the welfare cost of speculation is large, typically exceeding one percent of per-period consumption.

The Svensson generalization of the popular Nelson-Siegel term structure model is widely used by practitioners and central banks. Unfortunately, like the original Nelson-Siegel specification, this generalization, in its dynamic form, does not enforce arbitrage-free consistency over time. Indeed, we show that the factor loadings of the Svensson generalization cannot be obtained in a standard finance arbitrage-free affine term structure representation. Therefore, we introduce a closely related generalized Nelson-Siegel model on which the no-arbitrage condition can be imposed. We estimate this new arbitrage-free generalized Nelson-Siegel model and demonstrate its tractability and good in-sample fit.

Empirical evidence indicates that the elasticity of capital-labor substitution for the aggregate U.S. economy is below unity. In contrast, the existing indeterminacy literature has mostly restricted attention to a Cobb-Douglas production function which imposes a substitution elasticity exactly equal to unity. This paper examines the quantitative relationship between capital-labor substitution and the conditions needed for equilibrium indeterminacy (and belief-driven fluctuations) in a one-sector growth model. With variable capital utilization, the substitution elasticity has little quantitative impact on the minimum degree of increasing returns needed for indeterminacy. However, when capital utilization is constant, a below-unity substitution elasticity sharply raises the minimum degree of increasing returns. In this version of the model, lower substitution elasticities impose a higher adjustment cost on labor hours that cannot be mitigated by shifts in the capital utilization rate. Overall, our results show that empirically-plausible departures from the Cobb-Douglas specification can make indeterminacy more difficult to achieve.

This paper examines the robustness characteristics of optimal control policies derived under the assumption of rational expectations to alternative models of expectations. We assume that agents have imperfect knowledge about the precise structure of the economy and form expectations using a forecasting model that they continuously update based on incoming data. We find that the optimal control policy derived under the assumption of rational expectations can perform poorly when expectations deviate modestly from rational expectations. We then show that the optimal control policy can be made more robust by deemphasizing the stabilization of real economic activity and interest rates relative to inflation in the central bank loss function. That is, robustness to learning provides an incentive to employ a "conservative" central banker. We then examine two types of simple monetary policy rules from the literature that have been found to be robust to model misspecification in other contexts. We find that these policies are robust to empirically plausible parameterizations of the learning models and perform about as well or better than optimal control policies.

At the center of the financial market crisis of 2007-2008 was a highly unusual jump in spreads between the overnight inter-bank lending rate and term London inter-bank offer rates (Libor). Because many private loans are linked to Libor rates, the sharp increase in these spreads raised the cost of borrowing and interfered with monetary policy. The widening spreads became a major focus of the Federal Reserve, which took several actions--including the introduction of a new term auction facility (TAF)--to reduce them. This paper documents these developments and, using a no-arbitrage model of the term structure, tests various explanations, including increased risk and greater liquidity demands, while controlling for expectations of future interest rates. We show that increased counterparty risk between banks contributed to the rise in spreads and find no empirical evidence that the TAF has reduced spreads. The results have implications for monetary policy and financial economics.

This paper examines tax competition among U.S. states, using panel data on capital tax instruments from 1965 to 2006. We find the slope of this reaction function is negative for the investment tax credit and zero for the corporate income tax, contrary to the common belief thatstates are engaged in a competitive "race to the bottom" in terms of capital taxes. We show the dramatic decline in state capital taxation over the past forty years is the result of aggregate shocks rather than tax competition.

This paper identifies factors associated with takeoff--a sustained period of high growth following a period of stagnation. We examine a panel of 241 "stagnation episodes" from 146 countries, 54% of these episodes are followed by takeoffs. Countries that experience takeoffs average 2.3% annual growth following their stagnation episodes, while those that do not average 0% growth; 46% of the takeoffs are "sustained," i.e. lasting 8 years or longer. Using probit estimation, we find that de jure trade openness is positively and significantly associated with takeoffs. A one standard deviation increase in de jure trade openness is associated with a 55% increase in the probability of a takeoff in our default specification. We also find evidence that capital account openness encourages takeoff responses, although this channel is less robust. Measures of de facto trade openness, as well as a variety of other potential conditioning variables, are found to be poor predictors of takeoffs. We also examine the determinants of nations achieving sustained takeoffs. While we fail to find a significant role for openness in determining whether or not takeoffs are sustained, we do find a role for output composition: Takeoffs in countries with more commodity-intensive output bundles are less likely to be sustained, while takeoffs in countries that are more service-intensive are more likely to be sustained. This suggests that adverse terms of trade shocks prevalent among commodity exports may play a role in ending long-term high growth episodes.

This paper shows that proximity to major international financial centers seems to reduce business cycle volatility. In particular, we show that countries that are further from major locations of international financial activity systematically experience more volatile growth rates in both output and consumption, even after accounting for domestic financial depth, political institutions, and other controls. Our results are relatively robust in the sense that more financially remote countries are more volatile, though the results are not always statistically significant. The comparative strength of this finding is in contrast to the more ambiguous evidence found in the literature.

We evaluate the importance of three different channels for explaining the recent performance of subprime mortgages. First, the riskiness of the subprime borrowing pool may have increased. Second, pockets of regional economic weakness may have helped push a larger proportion of subprime borrowers into delinquency. Third, for a variety of reasons, the recent history of local house price appreciation and the degree of house price deceleration may have affected delinquency rates on subprime mortgages. While we find a role for all three candidate explanations, patterns in recent house price appreciation are far and away the best single predictor of delinquency levels and changes in delinquencies. Importantly, after controlling for the current level of house price appreciation, measures of house price deceleration remain significant predictors of changes in subprime delinquencies. The results point to a possible role for changes in house price expectations for explaining changes in delinquencies.

Writings on the macroeconomic impact of capital account liberalization find few, if any, robust effects of liberalization on real variables. In contrast to the prevailing wisdom, I argue that the textbook theory of liberalization holds up quite well to a critical reading of this literature. The lion's share of papers that find no effect of liberalization on real variables tell us nothing about the empirical validity of the theory, because they do not really test it. This paper explains why it is that most studies do not really address the theory they set out to test. It also discusses what is necessary to test the theory and examines papers that have done so. Studies that actually test the theory show that liberalization has significant effects on the cost of capital, investment, and economic growth.

The literature on capital controls has (at least) four very serious apples-to-oranges problems: (i) There is no unified theoretical framework to analyze the macroeconomic consequences of controls; (ii) there is significant heterogeneity across countries and time in the control measures implemented; (iii) there are multiple definitions of what constitutes a "success" and (iv) the empirical studies lack a common methodology--furthermore these are significantly "overweighted" by a couple of country cases (Chile and Malaysia). In this paper, we attempt to address some of these shortcomings by: being very explicit about what measures are construed as capital controls. Also, given that success is measured so differently across studies, we sought to "standardize" the results of over 30 empirical studies we summarize in this paper. The standardization was done by constructing two indices of capital controls: Capital Controls Effectiveness Index (CCE Index), and Weighted Capital Control Effectiveness Index (WCCE Index). The difference between them lies in that the WCCE controls for the differentiated degree of methodological rigor applied to draw conclusions in each of the considered papers. Inasmuch as possible, we bring to bear the experiences of less well known episodes than those of Chile and Malaysia. Then, using a portfolio balance approach we model the effects of imposing short-term capital controls. We find that there should exist country-specific characteristics for capital controls to be effective. From these simple perspective, this rationalizes why some capital controls were effective and some were not. We also show that the equivalence in effects of price- vs. quantity-capital control are conditional on the level of short-term capital flows.

This paper examines the degree of integration into world financial markets and the impacts on several key macroeconomic variables of selected East Asian economies, and draws policy implications. According to our analysis, the degrees of integration into world financial markets in those economies are increasing. Regarding the impacts of increasing integration into world financial markets on several macroeconomic variables, we find three results. First, casual two-way plots among macroeconomic variables do not support the theoretical prediction of reduction in relative consumption volatility. Second, the saving-investment correlation is higher than those of in Euro area economies. Third, the degrees of smoothing of idiosyncratic shock by cross-holding of financial assets are lower than Euro area economies. Those results suggest two policy implications. First, there's some room for improvement in welfare gains in those economies by further risk sharing. Second, holding all other conditions given, the increasing integration into world financial markets alone is unlikely to provide a sound ground for a currency union in East Asia at this stage.

Most models currently used to determine optimal foreign reserve holdings take the level of international debt as given. However, given the sovereign's willingness-to-pay incentive problems, reserve accumulation may reduce sustainable debt levels. In addition, assuming constant debt levels does not allow addressing one of the puzzles behind using reserves as a means to avoid the negative effects of crisis: why do not sovereign countries reduce their sovereign debt instead? To study the joint decision of holding sovereign debt and reserves, we construct a stochastic dynamic equilibrium model calibrated to a sample of emerging markets. We obtain that the optimal policy is not to hold reserves at all. This finding is robust to considering interest rate shocks, sudden stops, contingent reserves and reserve dependent output costs.

In this paper, we conduct a dynamic panel analysis of the determinants of the household saving rate in China using a life cycle model and panel data on Chinese provinces for the 1995-2004 period from China's household survey. We find that China's household saving rate has been high and rising and that the main determinants of variations over time and over space therein are the lagged saving rate, the income growth rate, and (in some cases) the real interest rate and the inflation rate. However, we find that the variables relating to the age structure of the population usually do not have a significant impact on the household saving rate. These results provide mixed support for the life cycle hypothesis as well as the permanent income hypothesis, are consistent with the existence of inertia or persistence, and imply that China's household saving rate will remain high for some time to come.

This paper investigates the international dimension of productivity and demand shocks in the U.S. using sign restrictions based on standard theory predictions. Identifying shocks to U.S. manufacturing--our measure of tradables--we find that productivity gains have substantial aggregate demand effects, boosting U.S. consumption and investment, relative to the rest of the world, thus raising real imports; net exports and U.S. net foreign assets correspondingly decrease. At the same time, however, these shocks appreciate the U.S. real exchange rate, improve the terms of trade and raise stock prices. Shocks to the demand for U.S. manufacturing appear to have less pronounced aggregate effects, with little impact on trade and capital accounts; they lead to a (delayed) dollar appreciation, however. Our findings provide novel evidence on key channels of the international transmission of shocks, pointing to a low degree of consumption risk sharing as an essential feature of the transmission mechanism, and suggesting that strong wealth e¤ects play an important role in generating aggregate demand fluctuations across countries.

Data on international relative prices from industrialized countries show large and systematic deviations from relative purchasing power parity. We embed a model of imperfect competition and variable markups in some of the recently developed quantitative models of international trade to examine whether such models can reproduce the main features of the fluctuations in international relative prices. We find that when our model is parameterized to match salient features of the data on international trade and market structure in the U.S., it reproduces deviations from relative purchasing power parity similar to those observed in the data because firms choose to price-to-market. We then examine how pricing-to-market depends on the presence of international trade costs and various features of market structure.

The basic inability of standard theoretical models to generate a sufficiently large and variable nominal bond risk premium has been termed the "bond premium puzzle." We show that the term premium on long-term bonds in the canonical dynamic stochastic general equilibrium (DSGE) model used in macroeconomics is too small and stable relative to the data. We find that introducing long-memory habits in consumption as well as labor market frictions can help fit the term premium, but only by seriously distorting the DSGE model's ability to fit other macroeconomic variables, such as the real wage; therefore, the bond premium puzzle remains.

We study the convergence of European bond markets and the anchoring of inflation expectations in the euro area using high-frequency bond yield data for France, Germany, Italy, and Spain as well as smaller euro area countries and a control group comprising the UK, Denmark, and Sweden. We find that Economic and Monetary Union (EMU) has led to substantial convergence in euro area sovereign bond markets in terms of interest rate levels, unconditional daily fluctuations, and conditional responses to major macroeconomic announcements. Our findings also suggest a substantial increase in the anchoring of long-term inflation expectations since EMU, particularly for Italy and Spain, which have seen their long-term interest rates become much lower, much less volatile, and much better anchored in response to news. Finally, we present evidence that the elimination of exchange rate risk and the adoption of a common monetary policy were the primary drivers of bond market convergence in the euro area, as opposed to fiscal policy restraint and the loose exchange rate peg of the 1990s.

A common assumption in the academic literature and in the actual supervision of banking systems worldwide is that franchise value plays a key role in limiting bank risk-taking. As the underlying source of franchise value is assumed to be market power, reduced competition has been considered to promote banking stability. Boyd and De Nicolo (2005) propose an alternative view where concentration in the loan market could lead to increased borrower debt loads and a corresponding increase in loan defaults that undermine bank stability. Martinez-Miera and Repullo (2007) encompass both approaches by proposing a nonlinear relationship between competition and bank risk-taking. Using unique datasets for the Spanish banking system, we examine the empirical nature of that relationship. After controlling for macroeconomic conditions and bank characteristics, we find that standard measures of market concentration do not affect the ratio of non-performing commercial loans (NPL), our measure of bank risk. However, using Lerner indexes based on bank-specific interest rates, we find a negative relationship between loan market power and bank risk. This result provides evidence in favor of the franchise value paradigm.

Access to external finance is a key determinant of a firm's ability to develop, operate and expand. To date, the literature has examined a variety of macroeconomic and microeconomic factors that influence firm financing. In this paper, we examine access by Spanish firms to external financing, both from bank and non-bank sources. We use dynamic panel data estimation techniques to estimate our models over a sample of 60,000 firms during the period from 1992 to 2002. We find that Spanish firms are quite dependent on short-term non-bank financing (such as trade credit), which makes up about 65 percent of total firm debt. Our results indicate that this type of financing is less sensitive to firm characteristics than short-term bank financing. However, we also find that short-term bank debt seems to be accessed more during economic expansions, which may suggest a substitution away from non-bank financing as firm conditions improve. Short-term bank debt also seems to be accessed more as funding rates rise, possibly again suggesting a substitution away from higher-priced non-bank alternatives. Using data from the Spanish Credit Register maintained by the Banco de Espana, we find that the impact of funding costs on access to external financing, whether from banks or non-banks, is affected by the nature of borrowing firms' bank relationships and collateral. In particular, we provide evidence of a potential hold-up problem in loan markets. Moreover, collateral plays a key role in making long-term finance available to firms.

We develop new techniques to assess the relationship between commercial bank performance and the economic conditions in the markets in which they operate. In the analysis, we allow for heterogeneity in the responses of banks to regional economic conditions. We find a statistically significant relationship between bank performance and shocks to the regional markets in which they operate. We find that region-specific shocks have a significant and persistent effect on the cross-sectional variance of bank performance in the market. That is, shocks affecting average performance of banks in a region also tend to increase the dispersion of their performance. We demonstrate that this effect is due to heterogeneity in the banks' exposures to their regional economies. Moreover, by allowing for this heterogeneity, we find that systematic responses to regional economic effects are notably more important in explaining the variation in bank performance than suggested by analysis in which responses are constrain to be the same for all banks.

We derive the class of affine arbitrage-free dynamic term structure models that approximate the widely-used Nelson-Siegel yield curve specification. These arbitrage-free Nelson-Siegel (AFNS) models can be expressed as slightly restricted versions of the canonical representation of the three-factor affine arbitrage-free model. Imposing the Nelson-Siegel structure on the canonical model greatly facilitates estimation and can improve predictive performance. In the future, AFNS models appear likely to be a useful workhorse representation for term structure research.

To conduct policy efficiently, central banks must use available data to infer, or learn, the relevant structural relationships in the economy. However, because a central bank's policy affects economic outcomes, the chosen policy may help or hinder its efforts to learn. This paper examines whether real-time learning allows a central bank to learn the economy's underlying structure and studies the impact that learning has on the performance of optimal policies under a variety of learning environments. Our main results are as follows. First, when monetary policy is formulated as an optimal discretionary targeting rule, we find that the rational expectations equilibrium and the optimal policy are real-time learnable. This result is robust to a range of assumptions concerning private sector learning behavior. Second, when policy is set with discretion, learning can lead to outcomes that are better than if the model parameters are known. Finally, if the private sector is learning, then unannounced changes to the policy regime, particularly changes to the inflation target, can raise policy loss considerably.

This paper explores how the steady trends in increasing tuition costs, college enrollment, and the college wage gap might be related to the quality of college graduates. The model shows that the signaling role of education might be an important yet largely neglected ingredient in these recent changes. I develop a special signaling model in which workers of heterogeneous abilities face the same costs, yet a larger proportion of able individuals self-select to attend college since they are more likely to get higher returns. With imperfect information, the skill premium is an outcome which depends on the equilibrium quality of college attendees and nonattendees. Incorporating a production function of college education, I discuss the properties of the college market equilibrium. A skill-biased technical change directly decreases self-selection into college, but the general equilibrium effect may overturn the direct decline, since increased enrollment and rising tuition costs increase self-selection. Higher initial human capital has an external effect on subsequent investment in school: All agents increase their education, and the higher equilibrium tuition costs increase self-selection and the college premium.

This paper uses a new dataset to study the relationship between economic output and sovereign default for the period 1820-2004. We find a negative but surprisingly weak relationship between output and default. Throughout history, countries have indeed defaulted during bad times (when output was relatively low), but they have also maintained debt service in the face of severe adverse shocks, and they have defaulted when domestic economic conditions were favorable. We show that this constitutes a puzzle for standard theories, which predict a much tighter negative relationship as default provides partial insurance against declines in output.

For over two decades, researchers have provided evidence that the yield curve, specifically the spread between long- and short-term interest rates, contains useful information for signaling future recessions. Despite these findings, forecasters appear to have generally placed too little weight on the yield spread when projecting declines in the aggregate economy. Indeed, we show that professional forecasters appear worse at predicting recessions a few quarters ahead than a simple real-time forecasting model that is based on the yield spread. This relative forecast power of the yield curve remains a puzzle.

Previous studies of real wage cyclicality have made only sparing use of the microdata detail that is available in the Panel Study of Income Dynamics (PSID). The present paper brings to bear this additional detail to investigate the robustness of previous results and to examine whether there are important cross-sectional and demographic differences in wage cyclicality. Although real wages were procyclical across the entire distribution of workers from 1967 to 1991, the wages of lower-income, younger, and less-educated workers exhibited greater procyclicality. However, workers' straight-time hourly pay rates have been acyclical, suggesting that more variable pay margins such as bonuses, overtime, late shift premia, and commissions have played a substantial if not primary role in generating procyclicality.

Since bank credit lines are a major source of corporate funding and liquidity, we examine the determinants of credit line usage with a database of Spanish corporate credit lines. A line's default status is the primary factor driving its usage, which increases as a firm approaches default. Several lender characteristics suggest an important role for bank monitoring in firms' usage decisions. Credit line usage is found to be inversely related to macroeconomic conditions. Overall, while several factors influence corporate credit line usage, our analysis suggests that default and supply-side variables are the most important.

The composition of capital inflows to emerging market economies tends to follow a predictable dynamic pattern across the business cycle. In most emerging market economies, total inflows are procyclical, with debt and portfolio equity flowing in first, followed later in the expansion by foreign direct investment (FDI). To understand the dynamic composition of these flows, we use a small open economy (SOE) framework to model the composition of capital inflows as the equilibrium outcome of emerging market firms' financing decisions. We show how costly external financing and FDI search costs generate a state-contingent cost of financing such that the cheapest source of financing depends on the phase of the business cycle. In this manner, the financial frictions are able to explain the interaction between the types of flows and deliver a time-varying composition of flows, as well as other standard features of emerging market business cycles. If, as this work suggests, flows are an equilibrium outcome of firms' financing decisions, then volatility of capital inflows is not necessarily bad for an economy. Furthermore, using capital controls to shut down one type of flow and encourage another is certain to have both short- and long-run welfare implications.

This paper empirically assesses the importance of interpersonal income comparisons using individual level data on suicide deaths in the United States. We model suicide as a choice variable, conditional on exogenous risk factors, reflecting an individual’s assessment of current and expected future utility. Our empirical analysis considers whether suicide risk is systematically related to the income of others, holding own income and other individual factors fixed. We estimate proportional hazards and probit models of the suicide hazard using two separate and independent data sets: (1) the National Longitudinal Mortality Study and (2) the National Center for Health Statistics' Mortality Detail Files combined with the 5 percent Public Use Micro Sample of the 1990 decennial census. Results from both data sources show that, controlling for own income and individual characteristics, individual suicide risk rises with reference group income. This result holds for reference groups defined broadly, such as by county, and more narrowly by county and one demographic marker (e.g., age, sex, race). These findings are robust to alternative specifications and cannot be explained by geographic variation in cost of living, access to emergency medical care, mismeasurement of deaths by suicide, or by bias due to endogeneity of own income. Our results confirm findings using self-reported happiness data and are consistent with models of utility featuring "external habit" or "Keeping Up with the Joneses" preferences.

This paper examines welfare-maximizing monetary policy in an estimated micro-founded general equilibrium model of the U.S. economy where the policymaker faces uncertainty about model parameters. Uncertainty about parameters describing preferences and technology implies uncertainty about the model’s dynamics, utility-based welfare criterion, and the "natural" rates of output and interest that would prevail absent nominal rigidities. We estimate the degree of uncertainty regarding natural rates due to parameter uncertainty. We find that optimal Taylor rules under parameter uncertainty respond less to the output gap and more to price inflation than would be optimal absent parameter uncertainty. We also show that policy rules that focus solely on stabilizing wages and prices yield welfare outcomes very close to the first-best.

This paper derives a general class of intrinsic rational bubble solutions in a Lucas-type asset pricing model. I show that the rational bubble component of the price-dividend ratio can evolve as a geometric random walk without drift, such that the mean of the bubble growth rate is zero. Driftless bubbles are part of a continuum of equilibrium solutions that satisfy a period-by-period no-arbitrage condition. I also derive a near-rational solution in which the agent’s forecast rule is under-parameterized. The near-rational solution generates intermittent bubbles and other behavior that is quantitatively similar to that observed in long-run U.S. stock market data.

Model uncertainty has the potential to change importantly how monetary policy should be conducted, making it an issue that central banks cannot ignore. In this paper, I use a standard new Keynesian business cycle model to analyze the behavior of a central bank that conducts policy with discretion while fearing that its model is misspecified. My main results are as follows. First, policy performance can be improved if the discretionary central bank implements a robust policy. This important result is obtained because the central bank's desire for robustness directs it to assertively stabilize inflation, thereby mitigating the stabilization bias associated with discretionary policymaking. In effect, a fear of model uncertainty can act similarly to a commitment mechanism. Second, exploiting the connection between robust control and uncertainty aversion, I show that the central bank's fear of model misspecification leads it to forecast future outcomes under the belief that inflation (in particular) will be persistent and have large unconditional variance, raising the probability of extreme outcomes. Private agents, however, anticipating the policy response, make decisions under the belief that inflation will be more closely stabilized, more tightly distributed, than under rational expectations. Third, as a technical contribution, I show how to solve an important class of linear-quadratic robust Markov-perfect Stackelberg problems.

We examine the performance and robustness properties of monetary policy rules in an estimated macroeconomic model in which the economy undergoes structural change and where private agents and the central bank possess imperfect knowledge about the true structure of the economy. Policymakers follow an interest rate rule aiming to maintain price stability and to minimize fluctuations of unemployment around its natural rate but are uncertain about the economy's natural rates of interest and unemployment and how private agents form expectations. In particular, we consider two models of expectations formation: rational expectations and learning. We show that in this environment the ability to stabilize the real side of the economy is significantly reduced relative to an economy under rational expectations with perfect knowledge. Furthermore, policies that would be optimal under perfect knowledge can perform very poorly if knowledge is imperfect. Efficient policies that take account of private learning and misperceptions of natural rates call for greater policy inertia, a more aggressive response to inflation, and a smaller response to the perceived unemployment gap than would be optimal if everyone had perfect knowledge of the economy. We show that such policies are quite robust to potential misspecification of private sector learning and the magnitude of variation in natural rates.

The empirical research literature regarding the effects of market structure on small business lending has yielded ambiguous results. This paper empirically tests for the presence of countervailing effects of increases in market concentration on small business loan volume. Countervailing effects would be expected if both the traditional Structure, Conduct, Performance (SCP) paradigm of industrial organization and a paradigm whereby market power benefits the formation of lending relationships (the relationship hypothesis), are at work. Using Community Reinvestment Act (CRA) data on small loans to small businesses, it is found that, on average, across MSAs, SCP effects dominate. But, as predicted by the relationship hypothesis, the negative effects of increases in concentration on small business loan volume are weaker, the greater the presence of young firms and the higher the business failure rate. Relationship effects due to business failure appear to come from highly concentrated MSAs. Endogeneity concerns are further addressed with the estimation of a regression that separates out the effects of changes in the number of lenders from the effects of changes in the sum of squared deviations of market shares.

We construct a vintage capital model in which worker skills lie along a continuum and workers can be paired with different vintages (as technology evolves) under a matching rule of "best worker with the best machine." Labor reallocation in response to technology shocks has two key implications for the wage premium. First, it limits both the magnitude and duration of change in the wage premium following a (permanent) embodied technology shock, so empirically plausible shocks do not lead to the kind of increases in the wage premium observed in the U.S. during the 1980s and early 1990s (though an increase in labor force heterogeneity does). Second, positive disembodied technology shocks tend to push up the wage premium as well, and while this effect is small, it does mean that a higher premium does not provide unambiguous information about the underlying shock. Labor reallocation also means that if embodied technology comes to play a larger role in long-run growth, investment and savings tend to fall in steady state, with little effect on output and employment, enabling the household to increase consumption without sacrificing leisure. The short run effects are more conventional: permanent shocks to disembodied technology induce a strong wealth effect that reduces savings and induces a consumption boom while permanent shocks to embodied technology induce dominant substitution effects and an expansion characterized by an investment boom.

Innovations in the mortgage market since the mid-1990s have effectively reduced a number of financing constraints. Coinciding with these innovations, we document a significant change in the propensity for households to own their homes, as well as substantial increases in the share of household income devoted to housing. These changes in housing expenditures are especially large for those groups that faced the greatest financial constraints, and are robust across the changing composition of households and their geographic location. We present evidence that young, constrained households may have used newly designed mortgages to finance their increased expenditures on housing.

We use robust control techniques to study the effects of model uncertainty on monetary policy in a small-open-economy model estimated on Australian data. Compared to the closed economy, the presence of open-economy transmission channels and shocks not only produces new trade-offs for monetary policy, but also introduces additional sources of specification errors. We find that price markup shocks in the domestic and import sector are important contributors to volatility in the model, and that the domestic and import sector Phillips curves are particularly vulnerable to model misspecification. On the other hand, deviations from the interest rate parity condition do not contribute much to overall volatility, nor is the parity condition especially vulnerable to misspecification. Our results suggest that it may be more important for central banks in small open economies to understand the nature of price setting and the effects of exchange rate movements on the economy than the determination of the exchange rate itself.

We document key facts about marriage and divorce, comparing trends through the past 150 years and outcomes across demographic groups and countries. While divorce rates have risen over the past 150 years, they have been falling for the past quarter century. Marriage rates have also been falling, but more strikingly, the importance of marriage at different points in the life cycle has changed, reflecting rising age at first marriage, rising divorce followed by high remarriage rates, and a combination of increased longevity with a declining age gap between husbands and wives. Cohabitation has also become increasingly important, emerging as a widely used step on the path to marriage. Out-of-wedlock fertility has also risen, consistent with declining "shotgun marriages." Compared with other countries, marriage maintains a central role in American life. We present evidence on some of the driving forces causing these changes in the marriage market: the rise of the birth control pill and women's control over their own fertility; sharp changes in wage structure, including a rise in inequality and partial closing of the gender wage gap; dramatic changes in home production technologies; and the emergence of the internet as a new matching technology. We note that recent changes in family forms demand a reassessment of theories of the family and argue that consumption complementarities may be an increasingly important component of marriage. Finally, we discuss how these facts should inform family policy debates.

Currency crises of the past decade highlighted the importance of balance-sheet effects of currency crises. In credit-constrained markets such effects may lead to further declines in credit. Controlling for a host of fundamentals, we find a systematic decline in foreign credit to emerging market private firms of about 25% in the first year following currency crises, which we define as large changes in real value of the currency. This decline is especially large in the first five months, lessens in the second year and disappears entirely by the third year. We identify the effects of currency crises on the demand and supply of credit and find that the decline in the supply of credit is persistent and contributes to about 8% decline in credit for the first two years, while the 35% decline in demand lasts only five months.

To explore the link between household consumption and wealth, we use a new source of harmonized microdata (Luxembourg Wealth Study). We investigate whether there are differences in wealth effects from different types of wealth and across age groups. We consider three countries: Canada, Italy and Finland. We find that the overall wealth effect from housing is stronger than the effect from financial wealth for the three countries in the sample. Additionally, in accordance with the life-cycle theory of consumption, we find the housing wealth effect to be significantly lower for younger households. We also find between-country differences in the wealth effect.

This paper documents significant time-variation in the degree of global price convergence over the last two decades. In particular, there appears to be a general U-shaped pattern with price dispersion first falling and then rising in recent years, a pattern which is remarkably robust across country groupings and commodity groups. This time-variation is difficult to explain in terms of the standard gravity equation variables common in the literature, as these tend not to vary much over time or have not risen in recent years. However, regression analysis indicates that this time-varying pattern coincides well with oil price fluctuations, which are clearly time-varying and have risen substantially since the late 1990s. As a result, this paper offers new evidence on the role of transportation costs in driving international price dispersion.

There is an ongoing debate in the U.S. among policymakers and the courts concerning the practical effects of state investment tax incentives. However, this debate often suffers from a lack of clear information on the extent of such incentives among states and how these incentives have evolved over time. This paper takes a first step toward addressing this shortcoming. Compiling information from all 50 states and the District of Columbia over the past 40 years, we are able to paint a picture of the variation in state investment tax incentives across states and over time. In particular, we document three stylized facts: (1) Over the last 40 years, state investment tax incentives have become increasingly large and increasingly common among states; (2) these incentives, as well as the level of the overall after-tax price of capital, are to a large extent clustered in certain regions of the country; and (3) states that enact investment tax credits tend to do so around the same time as their neighboring states.

Under federal-state law workers who quit a job are not entitled to receive unemployment insurance benefits. To show how the existence of the uninsured affects wages and employment, I extend an equilibrium search model to account for two types of unemployed workers: those who are currently receiving unemployment benefits and for whom an increase in unemployment benefits reduces the incentive to work, and those who are currently not insured. For these, work provides an added value in the form of future eligibility, and an increase in unemployment benefits increases their willingness to work. Incorporating both types into a search model permits me to solve analytically for the endogenous wage dispersion and insurance rate in the economy. I show that, in general equilibrium when firms adjust their job creation margin, the wage dispersion is reduced and the overall effect of benefits can be signed: higher unemployment benefits increase average wages and decrease the vacancy-to-unemployment ratio.

Over the past four decades, state investment tax incentives have proliferated. This emergence of state investment tax credits (ITC) and other investment tax incentives raises two important questions: 1) Are these tax incentives effective in achieving their stated objective, to increase investment within the state?; 2) To the extent these incentives raise investment within the state, how much of this increase is due to investment drawn away from other states? To begin to answer these questions, we construct a detailed panel dataset for 48 states for 20+ years. The dataset contains series on output and capital, their relative prices, and establishment counts. The effects of tax variables on capital formation and establishments are measured by the Jorgensonian user cost of capital that depends in a nonlinear manner on federal and state tax variables. Cross-jurisdictional differences in state investment tax credits and state corporate tax rates entering the user cost, combined with a panel that is long in the time dimension, are key to identifying the effectiveness of state investment incentives. Two models are estimated. The Capital Demand Model is motivated by the firstorder condition for a profit-maximizing firm and relates at the state level the capital/output ratio to the relative user cost of capital. The Twin-Counties Model exploits both the spatial breaks (“discontinuities”) in tax policy at state borders and our panel dataset to relate at the county level the relative user cost to the location of manufacturing establishments. Using the Capital Demand Model, we find that own-state capital formation is substantially increased by tax-induced reductions in the own-state price of capital and, more interestingly, substantially decreased by tax-induced reductions in the price of capital in competitive-states. Similarly, using our Twin-Counties Model, we find that county manufacturing establishment counts around state borders are higher on the side of the border with the lower price of capital, but the difference is economically small, suggesting that establishments are much less mobile than overall capital. Extensions of the Capital Demand Model also reveal that state capital tax policy appears to be a zero-sum game among the states in that an equiproportionate increase in own-state and competitive-states user costs tends to have no effect on own-state capital formation.

Linearized New Keynesian models and empirical no-arbitrage macro-finance models offer little insight regarding the implications of changes in bond term premiums for economic activity. We investigate these implications using both a structural model and a reduced-form framework. We show that there is no structural relationship running from the term premium to economic activity, but a reduced-form empirical analysis does suggest that a decline in the term premium has typically been associated with stimulus to real economic activity, which contradicts earlier results in the literature.

We examine foreign intermediation activity in Japan during the so-called "lost decade" of the 1990s, contrasting the behavior of lending by foreign commercial banks and underwriting activity by foreign investment banks over that period. Foreign bank lending is shown to be sensitive to domestic Japanese conditions, particularly Japanese interest rates, more so than their domestic Japanese bank counterparts. During the 1990s, foreign bank lending in Japan fell, both in overall numbers and as a share of total lending. However, there was marked growth in foreign underwriting activity in the international yen-denominated bond sector. A key factor in the disparity between these activities is their different clienteles: While foreign banks in Japan lent primarily to domestic borrowers, international yen-denominated bond issuers were primarily foreign entities with yen funding needs or opportunities for profitable swaps. Indeed, low interest rates that discouraged lending activity in Japan by foreign banks directly encouraged foreign underwriting activity tied to the so-called "carry trades." Regulatory reforms, particularly the "Big Bang" reforms of the 1990s, also play a large role in the growth of foreign underwriting activity over our sample period.

Previous research has found that male high school athletes experience better outcomes than non-athletes, including higher educational attainment, more employment, and higher wages. Students self-select into athletics, however, so these may be selection effects rather than causal effects. To address this issue, I examine Title IX which provides a unique quasiexperiment in female athletic participation. Between 1972 and 1978, U.S. high schools rapidly increased their female athletic participation rates (to approximately the same level as their male athletic participation rates) in order to comply with Title IX. This paper uses variation in the level of boys' athletic participation across states before Title IX as an instrument for the change in girls' athletic participation over the 1970s. Analyzing differences in outcomes for both the pre- and post-Title IX cohorts across states, I find that a 10 percentage point rise in state-level female sports participation generates a 1 percentage point increase in female college attendance and a 1 to 2 percentage point rise in female labor force participation. Furthermore, greater opportunities to play sports leads to greater female participation in previously male-dominated occupations, particularly for high-skill occupations.

This paper considers how divorce law alters the incentives for couples to invest in their marriage, focusing on the impact of unilateral divorce laws on investments in new marriages. Differences across states between 1970 and 1980 provide useful quasi-experimental variation with which to consider incentives to invest in several types of marriage-specific capital: spouse's education, children, household specialization, and home ownership. I find that adoption of unilateral divorce--regardless of the prevailing property-division laws--reduces investment in all types of marriage-specific capital considered except home ownership. In contrast, results for home ownership depend on the underlying property division laws.

This paper investigates whether it is costly for nonfinancial firms to enter the public bond market, and whether firms benefit from their bond IPOs. We find that both gross spreads and ex ante credit spreads are higher for IPO bonds, suggesting that firms pay higher underwriting costs on their first public bond. We also find that underpricing in the secondary market is higher for IPO bonds, further suggesting that it is costly to enter the public bond market. The costs of entering the public bond market are economically meaningful and are higher for risky firms. We investigate the benefits from entering the public bond market, by looking at the costs firms pay to raise external funding subsequently to their bond IPOs. Our results show that these benefits exist, but they accrue only to safe firms. These firms benefit from a reduction both in the interest rates they pay on bank loans and the costs they incur to issue private bonds after they enter the public bond market. Together with our the previous findings, these results lend support to the thesis that bond IPOs are unique.

Though China's share of world trade is comparable to that of Japan, little is known about the response of China's trade to changes in exchange rates. The few estimates available suffer from two limitations. First, the data for trade prices are based on proxies for prices from other countries. Second, the estimation sample includes the period of China's transformation from a centrally planned economy to a market-oriented system. To address these limitations, this paper develops an empirical model explaining the shares of China's exports and imports in world trade in terms of the real effective value of the renminbi. The specifications control for foreign direct investment and for the role of imports of parts to assemble merchandise exports. Parameter estimation uses disaggregated monthly trade data and excludes the period during which most of China's decentralization occurred. The estimation results suggest that a ten-percent real appreciation of the renminbi lowers the share of aggregate Chinese exports by a half of a percentage point. The same appreciation lowers the share of aggregate imports by about a tenth of a percentage point.

The rising current account deficit in the USA has attracted considerable attention in recent years. We use the "business cycle accounting" methodology to identify the principal distortions that have affected the external accounts of the US. In particular, we measure distortions in the optimality conditions of a simple two-country general equilibrium model using data from the US and the other G7 countries. We then feed these measured distortions into the model individually and use the simulated counterfactual paths of the current account to determine the contribution of each of these "wedges" to the overall external imbalance of the USA. We find that no single wedge in isolation can account closely for the observed current account. However, a combination of productivity differences and deviations from risk-sharing between the US and the rest of the G7 does the best job in accounting for most of the measured movement of the US current account.

This paper quantifies the role of alternative shocks in accounting for the recent declines in Japanese saving rates and interest rates and provides some projections about their future course. We consider three distinct sources of variation in saving rates and real interest rates: changes in fertility rates, changes in survival rates, and changes in technology. The empirical relevance of these factors is explored using a computable dynamic OLG model. We find that the combined effects of demographics and slower total factor productivity growth successfully explain both the levels and the magnitudes of the declines in the saving rate and the after-tax real interest rate during the 1990s. Model simulations indicate that the Japanese savings puzzle is over.

We investigate the possibility that the large current account deficits of the U.S. are the outcome of optimizing behavior. We develop a simple long-run world equilibrium model in which the current account is determined by the expected discounted present value of its future share of world GDP relative to its current share of world GDP. The model suggests that under some reasonable assumptions about future U.S. GDP growth relative to the rest of the advanced countries--more modest than the growth over the past 20 years--the current account deficit is near optimal levels. We then explore the implications for the real exchange rate. Under some plausible assumptions, the model implies little change in the real exchange rate over the adjustment path, though the conclusion is sensitive to assumptions about tastes and technology. Then we turn to empirical evidence. A test of current account sustainability suggests that the U.S. is not keeping on a long-run sustainable path. A direct test of our model finds that the dynamics of the U.S. current account--the increasing deficits over the past decade--are difficult to explain under a particular statistical model (Markov-switching) of expectations of future U.S. growth. But, if we use survey data on forecasted GDP growth in the G7, our very simple model appears to explain the evolution of the U.S. current account remarkably well. We conclude that expectations of robust performance of the U.S. economy relative to the rest of the advanced countries is a contender--though not the only legitimate contender--for explaining the U.S. current account deficit.

Between 1978 and 2003 the Chinese economy experienced a remarkable 5.7 percent annual growth of GDP per labor. At the same time, there has been a noticeable transformation of the economy: the share of workers in agriculture decreased from over 70 percent to less than 50 percent. We distinguish three sectors: private agriculture and nonagriculture and public nonagriculture. A growth accounting exercise reveals that the main source of growth was TFP in the private nonagricultural sector. The reallocation of labor from agriculture to nonagriculture accounted for 1.9 percent out of the 5.7 percent growth in output per labor. The reallocation of labor from the public to the private sector also accounted for a significant part of growth in the 1996-2003 period. We calibrate a general equilibrium model where the driving forces are public investment and employment, as well as sectorial TFP derived from our growth accounting exercise. The model tracks the historical employment share of agriculture and the labor productivities of all three sectors quite well.

In this paper, we model a dynamic general equilibrium model of a small open developing economy. We model labor markets as including both formal and informal urban employment as well as rural employment. We find that modelling dual labor markets helps explain why output in developing economies may fall even as labor inputs remain constant during finanical crises. An external financial shock may lead to a reallocation of labor from productive formal sectors of the economy to less productive informal sectors.

The uncovered interest rate parity equation is the cornerstone of most models in international macro. However, this equation does not hold empirically since the forward discount, or interest rate differential, is negatively related to the subsequent change in the exchange rate. This forward discount puzzle implies that excess returns on foreign currency investments are predictable. In this paper we investigate to what extent incomplete information processing can explain this puzzle. We consider two types of incompleteness: infrequent and partial information processing. We calibrate a two-country general equilibrium model to the data and show that incomplete information processing can fully match the empirical evidence. It can also account for several related empirical phenomena, including that of "delayed overshooting." We show that incomplete information processing is consistent both with evidence that little capital is devoted to actively managing short-term currency positions and with a small welfare gain from active portfolio management. The gain is small because exchange rate changes are very hard to predict. The welfare gain is easily outweighed by a small cost of active portfolio management.

Given past estimates of wage increases associated with workplace computer use and higher usage rates among more skilled workers, the diffusion of computers has been interpreted as a mechanism for skill-biased technological change and consequent widening of the earnings distribution. I investigate this link by testing for direct effects of rising computer use on the distribution of wages in the United States. Analysis of data from the periodic CPS computer use supplements over the years 1984-2003 reveals that the positive association between workplace computer use and wages declines at higher skill levels, with the notable exception of a higher return to computer use for highly educated workers that emerged after 1997. Over my complete sample frame, however, the net association between rising computer use and the distribution of wages was quite limited. For broad groups defined by educational attainment, rising computer use was associated with rising between-group inequality that was offset by falling within-group inequality, suggesting that computers have exerted a "leveling" rather than a "polarizing" effect on wages.

We examine the role of non-economic partnerships in promoting international economic exchange. Since far-sighted countries are more willing to join costly international partnerships such as environmental treaties, environmental engagement tends to encourage international lending. Countries with such non-economic partnerships also find it easier to engage in economic exchanges since they face the possibility that debt default might also spill over to hinder their non-economic relationships. We present a theoretical model of these ideas, and then verify their empirical importance using a bilateral cross-section of data on international crossholdings of assets and environmental treaties. Our results support the notion that international environmental cooperation facilitates economic exchange.

In a recent paper, Atkeson and Kehoe (2004) demonstrated the lack of a robust empirical relationship between inflation and growth for a cross-section of countries with 19th and 20th century data, concluding that the historical evidence only provides weak support for the contention that deflation episodes are harmful to economic growth. In this paper, we revisit this relationship by allowing for inflation and growth to have a nonlinear specification dependent on inflation levels. In particular, we allow for the possibility that high inflation is negatively correlated with growth, while a positive relationship exists over the range of negative-to-moderate inflation. Our results confirm a positive relationship between inflation and growth at moderate inflation levels, and support the contention that the relationship between inflation and growth is non-linear over the entire sample range.

BS_Inflation_data.xls - Workbook with five additional files, including description of methodology and raw data

The modern view of monetary policy stresses its role in shaping the entire yield curve of interest rates in order to achieve various macroeconomic objectives. A crucial element of this process involves guiding financial market expectations of future central bank actions. Recently, a few central banks have started to explicitly signal their future policy intentions to the public, and two of these banks have even begun publishing their internal interest rate projections. We examine the macroeconomic effects of direct revelation of a central bank's expectations about the future path of the policy rate. We show that, in an economy where private agents have imperfect information about the determination of monetary policy, central bank communication of interest rate projections can help shape financial market expectations and may improve macroeconomic performance.

In theory, monetary policies that target the price level, as opposed to the inflation rate, should be highly effective at stabilizing the economy and avoiding deflation in the presence of the zero lower bound on nominal interest rates. With such a policy, if the short-term interest rate is constrained at zero and the inflation rate declines below its trend, the public expects that policy will eventually engineer a period of above-trend inflation that restores the price level to its target level. Expectations of future monetary accommodation stimulate output and inflation today, mitigating the effects of the zero bound. The effectiveness of such a policy strategy depends crucially on the alignment of the public's and the central bank's expectations of future policy actions. In this paper, we consider an environment where private agents have imperfect knowledge of the economy and therefore continuously reestimate the forecasting model that they use to form expectations. We find that imperfect knowledge on the part of the public, especially regarding monetary policy, can undermine the effectiveness of price-level-targeting strategies that would work well if the public had complete knowledge. For low inflation targets, the zero lower bound can cause a dramatic deterioration in macroeconomic performance with severe recessions occurring with alarming frequency. However, effective communication of the policy strategy that reduces the public's confusion about the future course of monetary policy significantly reduces the stabilization costs associated with the zero bound. Finally, the combination of learning and the zero bound implies the need for a stronger policy response to movements in the price level than would otherwise be optimal and such a rule is effective at stabilizing both inflation and output in the presence of learning and the zero bound even with a low inflation target.

Many people point to information and communications technology (ICT) as the key for understanding the acceleration in productivity in the United States since the mid-1990s. Stories of ICT as a 'general purpose technology' suggest that measured TFP should rise in ICT-using sectors (reflecting either unobserved accumulation of intangible organizational capital; spillovers; or both), but with a long lag. Contemporaneously, however, investments in ICT may be associated with lower TFP as resources are diverted to reorganization and learning. We find that U.S. industry results are consistent with GPT stories: the acceleration after the mid-1990s was broadbased--located primarily in ICT-using industries rather than ICT-producing industries. Furthermore, industry TFP accelerations in the 2000s are positively correlated with (appropriately weighted) industry ICT capital growth in the 1990s. Indeed, as GPT stories would suggest, after controlling for past ICT investment, industry TFP accelerations are negatively correlated with increases in ICT usage in the 2000s.

We develop two measures of exogenous oil-price shocks for the period 1984 to 2006 based on market commentaries on daily oil-price fluctuations. Our measures are based on exogenous events that trigger substantial fluctuations in spot oil prices and are constructed to be free of endogenous and anticipatory movements. We find that the dynamic responses of output and prices implied by these measures are "well behaved." We also find that the response of output is larger than the one implied by a conventional measure of oil-price shocks proposed in the literature.

In 1986, a task force of banking academics organized and sponsored by the American Bankers Association convened to examine the banking industry and the efficacy of its regulatory system. The group was charged with reviewing the problems of ensuring the safety and soundness of the banking system and evaluating a number of policy options to improve the efficiency, performance, and safety of the system by changing the structure of the deposit insurance system and the bank regulatory and supervisory process. The results of the work of the task force were published by the MIT Press as the book, Perspectives on Safe and Sound Banking (Benston et al., 1986, the Report), which includes a set of principal options and recommendations. The purpose of this article is to assess the extent to which changes in public policy regarding depository institutions have been aligned with the recommendations of the Report. We find that, over the past 20 years, several legislative initiatives and changes in regulations and the bank supervisory process have been in keeping with the specific recommendations of the Report or with the analytic framework underlying the recommendations. At the same time, other recommendations in the Report have not been taken up and some proposals rejected in the Report have been put in place by legislative and regulatory initiatives. Overall, public policy and private sector initiatives appear to have contributed to safer and sounder banking and thrift sectors over the past 20 years. Consistent with what we see as the main theme of the Report, a likely contributing factor is the more appropriate alignment of incentive for risk-taking among larger depository institutions. Developments affecting risk-taking by depository institutions likely include higher capitalizations, greater risk exposure of private sector stakeholders more generally, improvements in risk management, and supervision and regulation that is focused on overall risk.

When similar patterns of expansion and contraction are observed across sectors, we call this a business cycle. Yet explaining the similarity and synchronization of these cycles across industries remains a puzzle. Whereas output growth across industries is highly correlated, identifiable shocks, like shocks to productivity, are far less correlated. While previous work has examined complementarities in production, we propose that sectors make similar input decisions because of complementarities in information acquisition. Because information about driving forces has a high fixed cost of production and a low marginal cost of replication, it can be more efficient for firms to share the cost of discovering common shocks than to invest in uncovering detailed sectoral information. Firms basing their decisions on this common information make highly correlated production choices. This mechanism amplifies the effects of common shocks, relative to sectoral shocks.

In this paper we study the extent to which foreign direct investment (FDI) could have contributed to recent increase in wages in China. Using a World Bank survey data set of 1500 Chinese enterprises conducted in 2002, we find that the presence of FDI has both direct and indirect effects on wages of skilled workers, while it does not appear to affect wages of production workers. Moreover, we find that the indirect effect of the FDI presence on wages of skilled workers is limited to private firms. We further find that observed quality of skilled workers in state owned enterprises (SOEs) declines in the presence of FDI in the same industry and region. We discuss potential reasons for such discrepancy in the FDI effects on private firms' and SOEs' labor practices. These findings highlight the relevance of labor market institutions in determining FDI spillovers.

This paper focuses on the bi-directional interaction between technology adoption and labor market conditions. We examine cross-city differences in PC adoption, relative wages, and changes in relative wages over the period 1980-2000 to evaluate whether the patterns conform to the predictions of a neoclassical model of endogenous technology adoption. Our approach melds the literature on the effect of the relative supply of skilled labor on technology adoption to the often distinct literature on how technological change influences the relative demand for skilled labor. Our results support the idea that differences in technology use across cities and its effects on wages reflect an equilibrium response to local factor supply conditions. The model and data suggest that cities initially endowed with relatively abundant and cheap skilled labor adopted PCs more aggressively than cities with relatively expensive skilled labor, causing returns to skill to increase most in cities that adopted PCs most intensively. Our findings indicate that neoclassical models of endogenous technology adoption can be very useful for understanding where technological change arises and how it affects markets.

Many researchers have used federal funds futures rates as measures of financial markets' expectations of future monetary policy. However, to the extent that federal funds futures reflect risk premia, these measures require some adjustment. In this paper, we document that excess returns on federal funds futures have been positive on average and strongly countercyclical. In particular, excess returns are surprisingly well predicted by macroeconomic indicators such as employment growth and financial business-cycle indicators such as Treasury yield spreads and corporate bond spreads. Excess returns on eurodollar futures display similar patterns. We document that simply ignoring these risk premia significantly biases forecasts of the future path of monetary policy. We also show that risk premia matter for some futures-based measures of monetary policy shocks used in the literature.

The Calvo pricing model that lies at the heart of many New Keynesian business cycle models has been roundly criticized for being inconsistent both with time series data on inflation and with micro-data on the frequency of price changes. In this paper I develop a new pricing model whose structure can be interpreted in terms of menu costs and information gathering/processing costs, that usefully addresses both criticisms. The resulting Phillips curve encompasses the partial-indexation model, the full-indexation model, and the Calvo model, and can speak to micro-data in ways that these models cannot. Taking the menu/information costs Phillips curve to the data, I find that the share of firms that change prices each quarter is about 60 percent and, reflecting the importance of information gathering/processing costs, that most firms that change prices are rule-of-thumb price setters. Exploiting an isomorphism result, I show that these values are consistent with estimates implied by the partial-indexation model.

We use micro�level data to analyze emerging markets� private sector access to international debt markets during sovereign debt crises. Using fixed effect analysis, we find that these crises are systematically accompanied by a decline in foreign credit domestic private firms, both during debt renegotiations and for over two years after the restructuring agreements are reached. This decline is large (over 20 percent), statistically significant, and robust when we control for a host of fundamentals. We find that this effect is concentrated in the nonfinancial sector and is different for exporters and for firms in the non�exporting sector. We also find that the magnitude of the effect depends on the type of debt restructuring agreement.

This paper demonstrates that sectoral heterogeneity itself--without any additional bells or whistles--has first-order implications for the transmission of aggregate shocks to aggregate variables in an otherwise standard DSGE model. The effects of sectoral heterogeneity on this transmission are decomposed into two channels: a "relative price" channel and a "relative productivity" channel. The relative price channel results from changes in the relative prices of aggregates, such as investment vis-a-vis consumption goods, which occurs in a sectoral model in response to even standard aggregate shocks. The relative productivity channel arises from changes in the distribution of inputs across sectors. We show that, for standard sectoral models, this latter channel is second-order, but becomes first-order if we consider a nontraded input such as capital utilization or introduce a wedge that thwarts the steady-state equalization of marginal products of a traded input across sectors. For reasonable parameterizations, the relative productivity channel causes aggregate productivity to vary procyclically in response to non-technological shocks such as changes in government purchases.

One of the primary motivations offered by the Bank of Japan (BOJ) for its quantitative easing program--whereby it maintained a current account balance target in excess of required reserves, effectively pegging short-term interest rates at zero--was to maintain credit extension by the troubled Japanese financial sector. We conduct an event study concerning the anticipated impact of quantitative easing on the Japanese banking sector by examining the impact of the introduction and expansion of the policy on Japanese bank equity values. We find that excess returns of Japanese banks were greater when increases in the BOJ current account balance target were accompanied by "nonstandard" expansionary policies, such as raising the ceiling on BOJ purchases of longterm Japanese government bonds. We also provide cross-sectional evidence that suggests that the market perceived that the quantitative easing program would disproportionately benefit financially weaker Japanese banks.

The positive correlations found between computer use and human capital are often interpreted as evidence that the adoption of computers have raised the relative demand for skilled labor, the widely touted skill-biased technological change hypothesis. However, several models argue the skill-intensity of technology is endogenously determined by the relative supply of skilled labor. We use instruments for the supply of human capital coupled with a rich dataset on computer usage by businesses to show that the supply of human capital is an important determinant of the adoption of personal computers. Our results suggest that great caution must be exercised in placing economic interpretations on the correlations often found between technology and human capital.

The newly industrialized economies (NIEs) of Asia are the fastest-growing economies in the world since 1960. A clear understanding of their rapid development remains elusive, with continuing disputes over the roles of technology growth, capital accumulation, and international trade and investment. We reconcile seemingly contradictory explanations by accounting for imperfections in output and capital markets. For instance, in Singapore, growth-accounting studies using quantities (the primal approach) find rising capital-output ratios and a constant labor share; but studies using real factor prices (the dual approach) find a constant user cost. We provide evidence that "favored" firms reaped economic profits and received preferential tax treatment, subsidies, and access to capital--market imperfections that are difficult to capture when implementing the dual approach. Further, declining pure profits can reconcile the constant or rising labor shares in revenue in the NIEs with theories of international trade that predict falling labor shares in cost. We provide empirical support for the quantitative importance of profits and heterogeneous user costs, describe the two-sector dynamics, and derive measures of technology growth, corrected for the imperfections that we quantify. We then discuss implications for broader disputes about Asian development.

In 2004 and 2005, long-term interest rates remained remarkably low despite improving economic conditions and rising short-term interest rates, a situation that former Fed Chairman Alan Greenspan dubbed a "conundrum." We document the extent and timing of this conundrum using two empirical no-arbitrage macro-finance models of the term structure of interest rates. These models confirm that the recent behavior of long-term yields has been unusual--that is, it cannot be explained within the framework of the models. Therefore, we consider other macroeconomic factors omitted from the models and find that some of these variables, particularly declines in long-term bond volatility, may explain a portion of the conundrum. Foreign official purchases of U.S Treasuries appear to have played little or no role.

This paper introduces a form of boundedly-rational inflation expectations in the New Keynesian Phillips curve. The representative agent is assumed to behave as an econometrician, employing a time series model for inflation that allows for both permanent and temporary shocks. The near-unity coefficient on expected inflation in the Phillips curve causes the agent's perception of a unit root in inflation to become close to self-fulfilling. In a "consistent expectations equilibrium," the value of the Kalman gain parameter in the agent's forecast rule is pinned down using the observed autocorrelation of inflation changes. The forecast errors observed by the agent are close to white noise, making it difficult for the agent to detect a misspecification of the forecast rule. I show that this simple model of inflation expectations can generate time-varying persistence and volatility that is broadly similar to that observed in long-run U.S. data. Model-based values for expected inflation track well with movements in survey-based measures of U.S. expected inflation. In numerical simulations, the model can generate pronounced low-frequency swings in the level of inflation that are driven solely by expectational feedback, not by changes in monetary policy.

A central tenet of inflation targeting is that establishing and maintaining well-anchored inflation expectations are essential. In this paper, we reexamine the role of key elements of the inflation targeting framework towards this end, in the context of an economy where economic agents have an imperfect understanding of the macroeconomic landscape within which the public forms expectations and policymakers must formulate and implement monetary policy. Using an estimated model of the U.S. economy, we show that monetary policy rules that would perform well under the assumption of rational expectations can perform very poorly when we introduce imperfect knowledge. We then examine the performance of an easily implemented policy rule that incorporates three key characteristics of inflation targeting: transparency, commitment to maintaining price stability, and close monitoring of inflation expectations, and find that all three play an important role in assuring its success. Our analysis suggests that simple difference rules in the spirit of Knut Wicksell excel at tethering inflation expectations to the central bank's goal and in so doing achieve superior stabilization of inflation and economic activity in an environment of imperfect knowledge.

We review previous literature on productivity spillovers of foreign direct investment (FDI) in China and conduct our own analysis using a firm-level data set from a World Bank survey. We find that the evidence of FDI spillovers on the productivity of Chinese domestic firms is mixed, with many positive results largely due to aggregation bias or failure to control for endogeneity of FDI. Attempting over 2500 specifications which take into account forward and backward linkages, we fail to find evidence of systematic positive productivity spillovers from FDI.spillovers from FDI. We do, however, find robust evidence that Chinese private firms tend to invest less in innovation in the presence of FDI. Combined with our previous findings that domestic private firms tend to be more involved in providing inputs and intermediary goods for foreign firms (Hale and Long, 2006), these results suggest a more passive role played by domestic firms in the global division of labor than envisioned by the Chinese government.

This paper empirically assesses the theory of interpersonal income comparison using a unique data set on suicide deaths in the United States. We treat suicide as a choice variable, conditional on exogenous risk factors, reflecting one's assessment of current and expected future utility. Using this framework we examine whether differences in group-specific suicide rates are systematically related to income dispersion, controlling for socio-demographic characteristics and income level. The results strongly support the notion that individuals consider relative income in addition to absolute income when evaluating their own utility. Importantly, the findings suggest that relative income affects utility in a two-sided manner, meaning that individuals care about the incomes of those above them (the Joneses) and those below them (the Smiths). Our results complement and extend those from studies using subjective survey data or data from controlled experiments.

While most empirical analysis of prediction markets treats prices of binary options as predictions of the probability of future events, Manski (2004) has recently argued that there is little existing theory supporting this practice. We provide relevant analytic foundations, describing sufficient conditions under which prediction markets prices correspond with mean beliefs. Beyond these specific sufficient conditions, we show that for a broad class of models prediction market prices are usually close to the mean beliefs of traders. The key parameters driving trading behavior in prediction markets are the degree of risk aversion and the distribution on beliefs, and we provide some novel data on the distribution of beliefs in a couple of interesting contexts. We find that prediction markets prices typically provide useful (albeit sometimes biased) estimates of average beliefs about the probability an event occurs.

Robust control allows policymakers to formulate policies that guard against model misspecification. The principal tools used to solve robust control problems are state-space methods (see Hansen and Sargent 2008, and Giordani and Soderlind 2004). In this paper we show that the structural-form methods developed by Dennis (2007) to solve control problems with rational expectations can also be applied to robust control problems, with the advantage that they bypass the task, often onerous, of having to express the reference model in state-space form. In addition, we show how to implement two different timing assumptions with distinct implications for the robust policy and the economy. We apply our methods to a New Keynesian dynamic stochastic general equilibrium model and find that robustness has important effects on policy and the economy.

We investigate the extent to which inflation targeting helps anchor long-run inflation expectations by comparing the behavior of daily bond yield data in the United Kingdom and Sweden--both inflation targeters--to that in the United States, a non-inflation-targeter. Using the difference between far-ahead forward rates on nominal and inflation-indexed bonds as a measure of compensation for expected inflation and inflation risk at long horizons, we examine how much, if at all, far-ahead forward inflation compensation moves in response to macroeconomic data releases and monetary policy announcements. In the U.S., we find that forward inflation compensation exhibits highly significant responses to economic news. In the U.K., we find a level of sensitivity similar to that in the U.S. prior to the Bank of England gaining independence in 1997, but a striking absence of such sensitivity since the central bank became independent. In Sweden, we find that forward inflation compensation has been insensitive to economic news over the whole period for which we have data. Our findings support the view that a well-known and credible inflation target helps to anchor the private sector's perceptions of the distribution of long-run inflation outcomes.

Political economists interested in discerning the effects of election outcomes on the economy have been hampered by the problem that economic outcomes also influence elections. We sidestep these problems by analyzing movements in economic indicators caused by clearly exogenous changes in expectations about the likely winner during election day. Analyzing high frequency financial fluctuations on November 2 and 3 in 2004, we find that markets anticipated higher equity prices, interest rates, and oil prices and a stronger dollar under a Bush presidency than under Kerry. A similar Republican-Democrat differential was also observed for the 2000 Bush-Gore contest. Prediction market based analyses of all presidential elections since 1880 also reveal a similar pattern of partisan impacts, suggesting that electing a Republican president raises equity valuations by 2-3 percent, and that since Reagan, Republican presidents have tended to raise bond yields.

This paper studies the empirical and theoretical association between the duration of a pegged exchange rate and the cost experienced upon exiting the regime. We confirm empirically that exits from pegged exchange rate regimes during the past two decades have often been accompanied by crises, the cost of which increases with the duration of the peg before the crisis. We explain these observations in a framework in which the exchange rate peg is used as a commitment mechanism to achieve inflation stability, but multiple equilibria are possible. We show that there are ex ante large gains from choosing a more conservative not only in order to mitigate the inflation bias from the well-known time inconsistency problem, but also to steer the economy away from the high inflation equilibria. These gains, however, come at a cost in the form of the monetary authority's lesser responsiveness to output shocks. In these circumstances, using a pegged exchange rate as an anti-inflation commitment device can create a "trap" whereby the regime initially confers gains in anti-inflation credibility, but ultimately results in an exit occasioned by a big enough adverse real shock that creates large welfare losses to the economy. We also show that the more conservative is the regime in place and the larger is the cost of regime change, the longer will be the average spell of the fixed exchange rate regime, and the greater the output contraction at the time of a regime change.

Interest in prediction markets has increased in the last decade, driven in part by the hope that these markets will prove to be valuable tools in forecasting, decisionmaking and risk management--in both the public and private sectors. This paper outlines five open questions in the literature, and we argue that resolving these questions is crucial to determining whether current optimism about prediction markets will be realized.

External debt increases the vulnerability of indebted emerging market economies to macroeconomic volatility and financial crises. Capital account reversals often lead sovereign debt repayment crises that are only resolved after prolonged and difficult debt restructuring. Foreign indebtedness exacerbates domestic financial distress in crisis, increasing both the incidence and severity of emerging market crises. These outcomes contrast with the presumption that access to international capital markets should help countries to smooth domestic consumption and investment against macroeconomic shocks. This paper uses models of sovereign to reconsider the role of sovereign debt renegotiation for international risk sharing and presents an approach for analyzing contractual innovations for implementing contingent debt repayments. The financial innovations that might allow risk-sharing rather than risk-inducing capital flows go beyond contractual changes that ease debt renegotiation by separating contingent payments from bonds.

A number of recent papers have used different financial market instruments to measure near-term expectations of the federal funds rate and the high-frequency changes in these instruments around FOMC announcements to measure monetary policy shocks. This paper evaluates the empirical success of a variety of financial market instruments in predicting the future path of monetary policy. All of the instruments we consider provide forecasts that are clearly superior to those of standard time series models at all of the horizons considered. Among financial market instruments, we find that federal funds futures dominate all the other securities in forecasting monetary policy at horizons out to six months. For longer horizons, the predictive power of many of the instruments we consider is very similar. In addition, we present evidence that monetary policy shocks computed using the current-month federal funds futures contract are influenced by changes in the timing of policy actions that do not influence the expected course of policy beyond a horizon of about six weeks. We propose an alternative shock measure that captures changes in market expectations of policy over slightly longer horizons.

A narrowing of the U.S. current account deficit through exchange rate movements is likely to entail a substantial depreciation of the dollar, as stressed in the widely cited contribution by Obstfeld and Rogoff (2005). We assess how the adjustment is affected by the high degree of international financial integration in the world economy. A growing body of research stresses the increasing leverage in international financial positions, with industrialized economies holding substantial and growing financial claims on each other. Exchange rate movements then leads to valuations effects as the currency compositions of a country's assets and liabilities are not matched. In particular, a dollar depreciation generates valuation gains for the U.S. by boosting the dollar value of the large amount of its foreign-currency denominated assets. We consider an adjustment scenario in which the U.S. net external debt is held constant. The key finding is that while the current account moves into balance, the pace of adjustment is smooth. Intuitively, the valuation gains stemming from the depreciation of the dollar allow the U.S. to finance ongoing, albeit shrinking, current account deficits. We find that the smooth pattern of adjustment is robust to alternative scenarios, although the ultimate movements in exchange rates are affected.

In this paper, we estimate a VAR model to present an empirical finding that an unexpected rise in the federal funds rate decreases the ratio of sales to stocks available for sales, while it increases finished goods inventories. In addition, dynamic responses of these variables reach their peaks several quarters after a monetary shock. In order to understand the observed relationship between monetary policy and finished goods inventories, we allow for the accumulation of finished goods inventories in an optimizing sticky price model, where prices are set in a staggered fashion. In our model, holding finished inventories helps firms to generate more sales at given their prices. We then show that the model can generate the observed relationship between monetary shocks and finished goods inventories. Furthermore, we find that allowing for inventory holdings leads to a Phillips curve equation, which makes the inflation rate depend on the expected present-value of future marginal cost as well as the current periodicals marginal cost and the expected rate of future inflation.

We present an algorithm and software routines for computing nth order Taylor series approximate solutions to dynamic, discrete-time rational expectations models around a nonstochastic steady state. The primary advantage of higher-order (as opposed to first- or second-order) approximations is that they are valid not just locally, but often globally (i.e., over nonlocal, possibly very large compact sets) in a rigorous sense that we specify. We apply our routines to compute first- through seventh-order approximate solutions to two standard macroeconomic models, a stochastic growth model and a life-cycle consumption model, and discuss the quality and global properties of these solutions.

In September 2002, a new market in "Economic Derivatives" was launched allowing traders to take positions on future values of several macroeconomic data releases. We provide an initial analysis of the prices of these options. We find that market-based measures of expectations are similar to survey-based forecasts, although the market-based measures somewhat more accurately predict financial market responses to surprises in data. These markets also provide implied probabilities of the full range of specific outcomes, allowing us to measure uncertainty, assess its driving forces, and compare this measure of uncertainty with the dispersion of point-estimates among individual forecasters (a measure of disagreement). We also assess the accuracy of market-generated probability density forecasts. A consistent theme is that few of the behavioral anomalies present in surveys of professional forecasts survive in equilibrium, and that these markets are remarkably well calibrated. Finally we assess the role of risk, finding little evidence that risk-aversion drives a wedge between market prices and probabilities in this market.

The Beveridge curve depicts the empirical relationship between job vacancies and unemployment, which in turn reflects the underlying efficiency of the job matching process. Previous analyses of the Beveridge curve suggested deterioration in match efficiency during the 1970s and early 1980s, followed by improved match efficiency beginning in the late 1980s. This paper combines aggregate and regional data on job vacancies and unemployment to estimate the U.S. aggregate and regional Beveridge curves, focusing on the period 1976-2005. Using new data on job vacancies from the U.S. Bureau of Labor Statistics, the help-wanted advertising series that formed the basis of past work are modified to form synthetic job vacancy series at the national and regional level. The results suggest that a decline in the dispersion of employment growth across geographic areas contributed to a pronounced inward shift in the Beveridge curve since the late 1980s, reversing the earlier pattern identified by Abraham (1987) and reinforcing findings of favorable labor market trends in the 1990s (e.g., Katz and Krueger 1999).

The literature on optimal monetary policy typically makes three major assumptions: (1) policymakers' preferences are quadratic, (2) the economy is linear, and (3) stochastic shocks and policymakers' prior beliefs about unobserved variables are normally distributed. This paper relaxes the third assumption and explores its implications for optimal policy. The separation principle continues to hold in this framework, allowing for tractability and application to forward-looking models, but policymakers' beliefs are no longer updated in a linear fashion, allowing for plausible nonlinearities in optimal policy. We consider in particular a class of models in which policymakers' priors about the natural rate of unemployment are diffuse in a region around the mean. When this is the case, it is optimal for policy to respond cautiously to small surprises in the observed unemployment rate, but become increasingly aggressive at the margin. These features of optimal policy match statements by Federal Reserve officials and the behavior of the Fed in the 1990s.

We propose an approximation method for analyzing Ericson and Pakes (1995)-style dynamic models of imperfect competition. We develop a simple algorithm for computing an "oblivious equilibrium," in which each firm is assumed to make decisions based only on its own state and knowledge of the long run average industry state, but where firms ignore current information about competitors' states. We prove that, as the market becomes large, if the equilibrium distribution of firm states obeys a certain "light-tail" condition, then oblivious equilibria closely approximate Markov perfect equilibria. We develop bounds that can be computed to assess the accuracy of the approximation for any given applied problem. Through computational experiments, we find that the method often generates useful approximations for industries with hundreds of firms and in some cases even tens of firms.

The credit risk capital requirements within the current Basel II Accord are based on the asymptotic single risk factor (ASRF) approach. The asset correlation parameter, defined as an obligor's sensitivity to the ASRF, is a key driver within this approach, and its average values for different types of obligors are to be set by regulators. Specifically, for commercial real estate (CRE) lending, the average asset correlations are to be determined using formulas for either income-producing real estate or high-volatility commercial real estate. In this paper, the value of this parameter was empirically examined using portfolios of U.S. publicly traded real estate investment trusts (REITs) as a proxy for CRE lending more generally. CRE lending as a whole was found to have the same calibrated average asset correlation as corporate lending, providing support for the recent U.S. regulatory decision to treat these two lending categories similarly for regulatory capital purposes. However, the calibrated values for CRE categories, such as multifamily residential or office lending, varied in important ways. The comparison of calibrated and regulatory values of the average asset correlations for these categories suggest that the current regulatory formulas generate parameter values that may be too high in most cases.

Structural vector-autoregressions with long-run restrictions are extraordinarily sensitive to low-frequency correlations. This paper explores this sensitivity analytically and via simulations, focusing on the contentious issue of whether hours worked rise or fall when technology improves. Recent literature finds that when hours per person enter the VAR in levels, hours rise; when they enter in differences, hours fall. However, once we allow for (statistically and economically plausible) trend breaks in productivity, the treatment of hours is relatively unimportant: Hours fall sharply on impact following a technology improvement. The issue is the common high-low-high pattern of hours per capita and productivity growth since World War II. Such low-frequency correlation almost inevitably implies a positive estimated impulse response. The trend breaks control for this correlation. In addition, the specification with breaks can easily "explain" (or encompass) the positive estimated response when the breaks are omitted; in contrast, the no-breaks specification has more difficulty explaining the negative response when breaks are included. More generally, this example suggests a need for care in applying the long-run-restrictions approach.

This paper examines the Hansen and Sargent (2003) formulation of the robust Stackelberg problem and shows that their method of constructing the approximating equilibrium, which is central to any robust control exercise, is generally invalid. The paper then turns to the Hansen and Sargent (2007) treatment, which, responding to the problems raised in this paper, changes subtly, but importantly, how the robust Stackelberg problem is formulated. This paper proves, first, that their method for obtaining the approximating equilibrium is now equivalent to the one developed in this paper, and, second, that the worst-case specification errors are not subject to a time-inconsistency problem. Analyzing robust monetary policy in two New Keynesian business cycle models, the paper demonstrates that a robust central bank should primarily fear that the supply side of its approximating model is misspecified and that attenuation characterizes robust policymaking. Depending on how the robust Stackelberg problem is formulated, this paper shows that the Hansen-Sargent approximating equilibrium can be dynamically unstable and that robustness can be irrelevant, i.e., that the robust policy can coincide with the rational expectations policy.

Many interpret estimated monetary policy rules as suggesting that central banks conduct very sluggish partial adjustment of short-term policy interest rates. In contrast, others argue that this appearance of policy inertia is an illusion and simply reflects the spurious omission of important persistent influences on the actual setting of policy. Similarly, the real-world implications of the theoretical arguments for policy inertia are debatable. However, empirical evidence on policy gradualism obtained by examining expectations of future monetary policy embedded in the term structure of interest rates is definitive and indicates that the actual amount of policy inertia is quite low.

There has been considerable debate about the causes of the "decline" of U.S. manufacturing over the post-war period. We show that the behavior of employment, prices and output in manufacturing relative to services over this period can be explained by a two-sector growth model in which productivity shocks are the only driving forces. The data also suggest that households are unwilling to substitute goods for services (the estimated elasticity of substitution is statistically indistinguishable from zero), so the economy adjusts to differential productivity growth entirely by reallocating labor across sectors.

We examine the performance and robustness of monetary policy rules when the central bank and the public have imperfect knowledge of the economy and continuously update their estimates of model parameters. We find that versions of the Taylor rule calibrated to perform well under rational expectations with perfect knowledge perform very poorly when agents are learning and the central bank faces uncertainty regarding natural rates. In contrast, difference rules, in which the change in the interest rate is determined by the inflation rate and the change in the unemployment rate, perform well when knowledge is both perfect and imperfect.

Since World War II, about 75 percent of consumption expenditure by the U.S. government has consisted of wages and salaries for government employees. I distinguish between the goods and the employment expenditure components of government consumption in assessing the effects of fiscal shocks on the macroeconomy. Identifying exogenous fiscal shocks with the onset of military buildups, I show that they lead to a substantial increase in both the number of hours worked and output for the government. I also show that allowing for the distinction between the two main components of government consumption improves the quantitative performance of the neoclassical growth model. In particular, a neoclassical model economy with government employment does a good job of accounting for the dynamic response of private consumption to a fiscal policy shock. Government employment expenditure acts as a transfer payment for households, thereby dampening substantially the wealth effect on consumption and labor supply associated with fiscal shocks.

We use a micro-founded macroeconometric modeling framework to investigate the design of monetary policy when the central bank faces uncertainty about the true structure of the economy. We apply Bayesian methods to estimate the parameters of the baseline specification using postwar U.S. data and then determine the policy under commitment that maximizes household welfare. We find that the performance of the optimal policy is closely matched by a simple operational rule that focuses solely on stabilizing nominal wage inflation. Furthermore, this simple wage stabilization rule is remarkably robust to uncertainty about the model parameters and to various assumptions regarding the nature and incidence of the innovations. However, the characteristics of optimal policy are very sensitive to the specification of the wage contracting mechanism, thereby highlighting the importance of additional research regarding the structure of labor markets and wage determination.

This paper aims at quantifying the economic value of knowledge spillovers by exploring information contained in patent citations. We estimate a market valuation equation for semiconductor firms during the 1980s and 1990s, and find an average value in the amount of $0.6 to 1.2 million "R&D-equivalent" dollars for the knowledge spillovers as embodied in one patent citation. For an average semiconductor firm, such an estimate implies that the total value of knowledge spillovers the firm received during the sample period could be as high as half of its actual total R&D expenditures in the same period. This provides a direct measure of the economic values of the social returns or externalities of relevant technological innovations. We also find that the value of knowledge spillovers declines as the size of the firm's patent portfolio increases, and that self citations are more valuable than external citations, indicating a significant amount of tacit knowledge or know-how spillovers that occur within the firm.

This paper develops a two-country macro model with endogenous tradability to study features of international economic integration. Recent episodes of integration in Europe and North America suggest some surprising observations: while quantities of trade have increased significantly, especially along the extensive margin of goods previously not traded, price dispersion has not decreased and may even have increased. These observations challenge the usual understanding of integration in the literature. We propose a way of reconciling these price and quantity observations in a macroeconomic model where the decision of heterogeneous firms to trade internationally is endogenous. Trade is shaped both by the nature of heterogeneity -- trade costs versus productivity -- and by the nature of trade policies -- cuts in fixed costs versus cuts in per unit costs like tariffs. For example, in contrast to tariff cuts, trade policies that work mainly by lowering various fixed costs of trade may have large effects on entry decisions at the extensive margin without having direct effects on price-setting decisions. Whether this entry raises or lowers price dispersion depends on the type of heterogeneity that distinguishes the new entrants from incumbent traders.

The IMF attempts to stabilize private capital flows to emerging markets by providing public monitoring and emergency finance. In analyzing its role we contrast cases where banks and bondholders do the lending. Banks have a natural advantage in monitoring and creditor coordination, while bonds have superior risk sharing characteristics. Consistent with this assumption, banks reduce spreads as they obtain more information through repeat transactions with borrowers. By comparison, repeat borrowing has little influence in bond markets, where publicly-available information dominates. But spreads on bonds are lower when they are issued in conjunction with IMF-supported programs, as if the existence of a program conveyed positive information to bondholders. The influence of IMF monitoring in bond markets is especially pronounced for countries vulnerable to liquidity crises.

Conventional wisdom in economic history suggests that conflict between countries can be enormously disruptive of economic activity, especially international trade. Yet nothing is known empirically about these effects in large samples. We study the effects of war on bilateral trade for almost all countries with available data extending back to 1870. Using the gravity model, we estimate the contemporaneous and lagged effects of wars on the trade of belligerent nations and neutrals, controlling for other determinants of trade. We find large and persistent impacts of wars on trade, and hence on national and global economic welfare. A rough accounting indicates that such costs might be of the same order of magnitude as the "direct" costs of war, such as lost human capital, as illustrated by case studies of World War I and World War II.

This paper develops a one-sector real business cycle model in which competitive firms allocate resources for the production of goods, investment in new capital, and maintenance of existing capital. Firms also choose the utilization rate of existing capital. A higher utilization rate leads to faster capital depreciation, while an increase in maintenance activity has the opposite effect. We show that as the equilibrium ratio of maintenance expenditures to GDP rises, the required degree of increasing returns for local indeterminacy declines over a wide range of parameter combinations. When the model is calibrated to match empirical evidence on the relative size of maintenance and repair activity, we find that local indeterminacy (and belief-driven fluctuations) can occur with a mild and empirically plausible degree of increasing returns--around 1.08.

Previous studies of event returns surrounding bank mergers show that banks gain value in megamergers and additional value when they absorb in-market competitors. A portion of these gains has been traced to the increased bargaining power of banks vis-a-vis regulators and other competitors. We demonstrate that increased bargaining power of megabanks adversely affects loan customers of the acquired institution. Wealth losses are greater when loan customers are credit-constrained, the loan customer is smaller, or the acquisition is an in-market deal. These findings reinforce complaints that the ongoing consolidation in banking has unfavorably affected the availability of credit for smaller firms and especially capital-constrained firms.

The proliferation of R&D tax incentives among U.S. states in recent decades raises two important questions: (1) Are these tax incentives e¤ective in achieving their stated objective, to increase R&D spending within the state? (2) To the extent the incentives do increase R&D within the state, how much of this increase is due to drawing R&D away from other states? In short, this paper answers (1) "yes" and (2) "nearly all," with the implication that the net national e¤ect of R&D tax incentives on R&D spending is near zero. The paper addresses these questions by exploiting the cross-sectional and time-series variation in R&D tax credits, and in turn the user cost of R&D, among U.S. states from 1981-2004 to estimate an augmented version of the standard R&D factor demand model. I estimate an in-state user cost elasticity (UCE) around -2.5 (in the long-run), consistent with previous studies of the R&D cost elasticity. However, the R&D elasticity with respect to costs in neighboring states, which has not previously been investigated, is estimated to be around +2.7, suggesting a zero-sum game among states and raising concerns about the efficiency of state R&D credits from the standpoint of national social welfare.

Currency crises are usually associated with large nominal and real depreciations. In some countries depreciations are perceived to be very costly ("fear of floating"). In this paper we try to understand the reasons behind this fear. We first look at episodes of currency crises in the 1990s and establish that countries entering a crisis with high levels of foreign debt tend to experience large real exchange rate overshooting (devaluation in excess of the long-run equilibrium level) and large output contractions. We then develop a model of a small open economy that helps to explain this evidence. The key element of the model is the presence of a margin constraint on the domestic country. Real devaluations, by reducing the value of domestic assets relative to international liabilities, make countries with high foreign debt more likely to hit the constraint. When countries hit the constraint they are forced to sell domestic assets, and this causes a further devaluation of the currency (overshooting) and a reduction of their stock prices (overreaction). This fire sale can have a significant negative wealth effect. The model highlights a key tradeoff when considering fixed versus flexible exchange rate regimes; a fixed exchange regime can, by avoiding exchange rate overshooting, mitigate the negative wealth effect but at the cost of additional distortions and output drops in the short run. There are plausible parameter values under which fixed exchange rates dominate flexible exchange rates from a welfare perspective.

The Monetary Control Act of 1980 requires the Federal Reserve System to provide payment services to depository institutions through the twelve Federal Reserve Banks at prices that fully reflect the costs a private-sector provider would incur, including a cost of equity capital (COE). Although Fama and French (1997) conclude that COE estimates are "woefully" and "unavoidably" imprecise, the Reserve Banks require such an estimate every year. We examine several COE estimates based on the CAPM model and compare them using econometric and materiality criteria. Our results suggests that the benchmark CAPM model applied to a large peer group of competing firms provides a COE estimate that is not clearly improved upon by using a narrow peer group, introducing additional factors into the model, or taking account of additional firm-level data, such as leverage and line-of-business concentration. Thus, a standard implementation of the benchmark CAPM model provides a reasonable COE estimate, which is needed to impute costs and set prices for the Reserve Banks' payments business.

This paper analyzes the causes and consequences of offshore financial centers (OFCs). Since OFCs are likely to be tax havens and money launderers, they encourage bad behavior in source countries. Nevertheless, OFCs may also have unintended positive consequences for their neighbors, since they act as a competitive fringe for the domestic banking sector. We derive and simulate a model of a home country monopoly bank facing a representative competitive OFC which offers tax advantages attained by moving assets offshore at a cost that is increasing in distance between the OFC and the source. Our model predicts that proximity to an OFC is likely to have pro-competitive implications for the domestic banking sector, although the overall effect on welfare is ambiguous. We test and confirm the predictions empirically. Proximity to an OFC is associated with a more competitive domestic banking system and greater overall financial depth.

From a macroeconomic perspective, the short-term interest rate is a policy instrument under the direct control of the central bank. From a finance perspective, long rates are risk-adjusted averages of expected future short rates. Thus, as illustrated by much recent research, a joint macro-finance modeling strategy will provide the most comprehensive understanding of the term structure of interest rates. We discuss various questions that arise in this research, and we also present a new examination of the relationship between two prominent dynamic, latent factor models in this literature: the Nelson-Siegel and affine no-arbitrage term structure models.

This paper distinguishes between two components of government consumption, expenditure on final goods and expenditure on hours, and compares the effects of changes in these two on the current account. I find that changes in government expenditure on hours do not directly affect the current account and that their impact is considerably smaller than the impact produced by changes in government expenditure on final goods. These findings indicate that considering government consumption as entirely expenditure on final goods leads to overestimating its role in accounting for movements in the current account balance.

Recently, Greenwood, Hercowitz and Krusell (GHK) have identified the relative price of (new) capital with capital-specific technological progress. In a two-sector growth model, however, the relative price of capital equals the ratio of the productivity processes in the two sectors. Restrictions from this model are used with data on wages and prices to construct measures of productivity growth and test the GHK identification, which is easily rejected by the data. This raises questions about various measures of the contribution that capital-specific technological progress might make to the economy. This identification also induces a negative correlation between the resulting measures of capital-specific and economy-wide technological change, which potentially explains why papers employing this identification find that capital-specific technological change accelerated in the mid-1970s. We impose structure on the productivity measures based on their long-run behavior and find evidence of a slowdown in productivity in the 1970s that is common to both sectors and an acceleration in the mid-1990s that is exclusive to the capital sector.

We estimate a structural model of the market for automatic teller machines (ATMs) in order to evaluate the implications of regulating ATM surcharges on ATM entry and consumer and producer surplus. We estimate the model using data on firm and consumer locations, and identify the parameters of the model by exploiting a source of local quasi-experimental variation, that the state of Iowa banned ATM surcharges during our sample period while the state of Minnesota did not. We develop new econometric methods that allow us to estimate the parameters of equilibrium models without computing equilibria. Monte Carlo evidence shows that the estimator performs well. We find that a ban on ATM surcharges reduces ATM entry by about 12 percent, increases consumer welfare by about 10 percent and lowers producer profits by about 10 percent. Total welfare remains about the same under regimes that permit or prohibit ATM surcharges and is about 17 percent lower than the surplus maximizing level. This paper can help shed light on the theoretically ambiguous implications of free entry on consumer and producer welfare for differentiated products industries in general and ATMs in particular.