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Research Spotlight

“The Economics of Climate Change” conference set for November 8

Posted September 6, 2019

The San Francisco Fed will host the conference “The Economics of Climate Change” (pdf, 104 kb) on November 8. Presentations will focus on new research examining the economic and financial implications of climate change.

This conference will bring together researchers from around the globe to discuss topics such as quantifying the climate risk faced by households, firms, and the financial system; measuring the economic costs and consequences of climate change; accounting for the effects of climate change on financial asset prices; and understanding the potential implications of climate change for monetary, supervisory, and trade policy.

Frank Elderson, member of the Governing Board of the Netherlands Central Bank and chair of the Network for Greening the Financial System, will deliver keynote remarks.

Conference attendance is by invitation only.

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Recent Publications

FedViews

Posted July 11, 2019

Mark Spiegel, vice president at the Federal Reserve Bank of San Francisco, stated his views on the current economy and the outlook as of July 11, 2019.

View past FedViews

Economic Letter

Posted September 3, 2019
Mary C. Daly

A new and less familiar economic environment has emerged in the United States and other countries. Our collective futures now include slower potential growth, lower long-term interest rates, and persistently weak inflation. This new landscape demands we think differently about how to balance and achieve price stability and full employment objectives. The following is adapted from a speech by the president and CEO of the Federal Reserve Bank of San Francisco to the conference “Inflation Targeting—Prospects and Challenges” in Wellington, New Zealand, on August 29.

View more FRBSF Economic Letters

Working Paper

Posted September 4, 2019
Òscar Jordà and Alan M. Taylor

Interest rates in major advanced economies have drifted down and in greater unison over the past few decades. A country’s rate of interest can be thought of as reflecting movements in the global neutral rate of interest, the domestic neutral rate, and the stance of monetary policy. Only the latter is controlled by the central bank. Estimates from a state space New Keynesian model show that central bank policy explains less than half of the variation in interest rates. The rest of the time, the central bank is catching up to trends dictated by productivity growth, demography, and other factors outside of its control.

View More Working Papers

Indicators and Data

Cyclical and Acyclical Core PCE Inflation

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

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.

Tech Pulse

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

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.

Treasury Yield Premiums

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.

Wage Rigidity Meter

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.

Weather-Adjusted Employment Change

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.

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