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The Federal Reserve Bank of San Francisco will host its annual conference on macroeconomics and monetary policy on Friday, March 27, 2020.
We invite researchers to submit working papers by Friday, October 18. We prefer topics in the area of macroeconomics broadly defined that are relevant for monetary policy, which may involve related fields such as finance, labor economics, international economics, applied microeconomics, and public finance.
Read our Call for Papers for more information
Reuven Glick, group vice president at the Federal Reserve Bank of San Francisco, stated his views on the current economy and the outlook as of October 11, 2019.
Given the low level of interest rates in many developed economies, negative interest rates could become an important policy tool for fighting future economic downturns. Because of this, it’s important to carefully examine evidence from economies whose central banks have already deployed such policies. Analyzing financial market reactions to the introduction of negative interest rates shows that the entire yield curve for government bonds in those economies tends to shift lower. This suggests that negative rates may be an effective monetary policy tool to help ease financial conditions.
We derive the asymptotic distribution of the parameters of the Berry et al. (1995, BLP) model in a many markets setting which takes into account simulation noise under the assumption of overlapping simulation draws. We show that, as long as the number of simulation draws R and the number of markets T approach infinity, our estimator is √m = √min(R,T) consistent and asymptotically normal. We do not impose any relationship between the rates at which R and T go to infinity, thus allowing for the case of R < < T. We provide a consistent estimate of the asymptotic variance which can be used to form asymptotically valid confidence intervals. Instead of directly minimizing the BLP GMM objective function, we propose using Hamiltonian Markov chain Monte Carlo methods to implement a Laplace-type estimator which is asymptotically equivalent to the GMM estimator.
Cyclical and Acyclical Core PCE Inflation divides components of core personal consumption expenditures according to whether they move in tandem with economic cycles or are independent of the state of the overall economy.
PCE Inflation Dispersion statistics present a more detailed summary of the personal consumption expenditure price index (PCEPI), a measure of U.S. inflation. Included are measures of the distribution of price changes across categories and diffusion indices.
The Tech Pulse Index is an index of coincident indicators of activity in the U.S. information technology sector. It can be interpreted as a summary statistic that tracks the health of the tech sector in a timely manner.
Total Factor Productivity (TFP) presents a real-time, quarterly data series for the U.S. business sector, adjusted for variations in factor utilization—labor effort and capital’s workweek.
The Treasury yield premium model decomposes nominal bond yields of various maturities into three components: expectations of the average future short-term interest rate, a term premium, and a model residual.
The Wage Rigidity Meter offers a closer examination of the annual wage changes of U.S. workers that have not changed jobs over the year.
This page provides estimates of weather-adjusted employment change in the United States for the past six months. The estimates are aggregated from county-level estimates of weather’s employment effects, which were derived from a county-level analysis of the short-run effects of unusual weather on employment growth.