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Stephen J. Terry
Researcher at Boston University
Publications - 30
Citations - 2295
Stephen J. Terry is an academic researcher from Boston University. The author has contributed to research in topics: Earnings & Enterprise value. The author has an hindex of 15, co-authored 29 publications receiving 1683 citations. Previous affiliations of Stephen J. Terry include Federal Reserve Bank of Kansas City & Stanford University.
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COVID-induced economic uncertainty
Scott R. Baker,Nicholas Bloom,Nicholas Bloom,Steven J. Davis,Steven J. Davis,Steven J. Davis,Stephen J. Terry +6 more
TL;DR: In this article, the authors identify three indicators (i.e., stock market volatility, newspaper-based economic uncertainty, and subjective uncertainty in business expectation surveys) that provide real-time forward-looking uncertainty measures.
Journal ArticleDOI
Really Uncertain Business Cycles
TL;DR: In this article, uncertainty shocks are proposed as a new impulse driving business cycles and a dynamic stochastic general equilibrium model that extends the benchmark neoclassical growth model along two dimensions.
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Really Uncertain Business Cycles
TL;DR: This article showed that microeconomic uncertainty is robustly countercyclical, rising sharply during recessions, particularly during the Great Recession of 2007-2009, and found that reasonably calibrated uncertainty shocks can explain drops and rebounds in GDP of around 3%.
Journal ArticleDOI
Really Uncertain Business Cycles
Nicholas Bloom,Nicholas Bloom,Max Floetotto,Nir Jaimovich,Itay Saporta Eksten,Itay Saporta Eksten,Stephen J. Terry +6 more
TL;DR: The authors showed that microeconomic uncertainty is robustly countercyclical, rising sharply during recessions, particularly during the Great Recession of 2007-2009, and found that reasonably calibrated uncertainty shocks can explain drops and rebounds in GDP of around 3%.
Journal ArticleDOI
Time Variation in the Inflation Passthrough of Energy Prices
Todd E. Clark,Stephen J. Terry +1 more
TL;DR: In this article, from Bayesian estimates of a vector autoregression (VAR) which allows for both coefficient drift and stochastic volatility, the authors obtained the following three results: the responsiveness of core inflation to changes in energy prices in the United States fell rapidly and remains muted.