2016
DOI: 10.3386/w21956
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The Aggregate Implications of Regional Business Cycles

Abstract: Louis Federal Reserve, UCLA, Yale's Cowles Conference on Macroeconomics. Any remaining errors are our own. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research. NBER working papers are circulated for discussion and comment purposes. They have not been peerreviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications.

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Cited by 67 publications
(55 citation statements)
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“…We show how local estimates can vary from the aggregate using a general equilibrium model. Our approach is close to Beraja, Hurst, and Ospina (2016) who use regional variation in wages to discipline key model parameters and then use a structural model to analyze the aggregate effect of shocks.…”
Section: Introductionmentioning
confidence: 99%
“…We show how local estimates can vary from the aggregate using a general equilibrium model. Our approach is close to Beraja, Hurst, and Ospina (2016) who use regional variation in wages to discipline key model parameters and then use a structural model to analyze the aggregate effect of shocks.…”
Section: Introductionmentioning
confidence: 99%
“…30 When monetary policy doesn't respond to shocks, Beraja et al (2016) find that regional and aggregate elasticities are similar. Thus, the back of the envelope calculations may actually not be far off.…”
mentioning
confidence: 91%
“…With mobile labor or flexible interest rates, job losses in one region may facilitate job growth in other regions, causing regional elasticities to overstate aggregate effects. In the model of Beraja et al (2016), regional elasticities to a discount rate shock are 2.3 times that of an aggregate shock. This would imply that falling house prices reduced employment by 1.5% in aggregate instead of 3.5%.…”
Section: Aggregate Effectmentioning
confidence: 99%
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“…With only a small number of recessions, it is essentially impossible to determine directly from the data which particular features of this distribution determine the strength of the refinancing channel of monetary policy. Second, echoing ideas in Beraja, Hurst, and Ospina (2016), drawing conclusions about aggregate spending from regional evidence requires accounting for offsetting behavior by lenders which cannot be measured in our data.…”
Section: Introductionmentioning
confidence: 99%