The Aggregate Implications of Regional Business Cycles / Martin Beraja, Erik Hurst, Juan Ospina.

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Beraja, Martin

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Material type: Text

TextSeries: Working Paper Series (National Bureau of Economic Research) ; no. w21956.Publication details: Cambridge, Mass. National Bureau of Economic Research 2016.Description: 1 online resource: illustrations (black and white)Subject(s):

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Abstract: Making inferences about aggregate business cycles from regional variation alone is diffcult because of economic channels and shocks that differ between regional and aggregate economies. However, we argue that regional business cycles contain valuable information that can help discipline models of aggregate fluctuations. We begin by documenting a strong relationship across US states between local employment and wage growth during the Great Recession. This relationship is much weaker in US aggregates. Then, we present a methodology that combines such regional and aggregate data in order to estimate a medium-scale New Keynesian DSGE model. We find that aggregate demand shocks were important drivers of aggregate employment during the Great Recession, but the wage stickiness necessary for them to account for the slow employment recovery and the modest fall in aggregate wages is inconsistent with the flexibility of wages we observe across US states. Finally, we show that our methodology yields different conclusions about the causes of aggregate employment and wage dynamics between 2007 and 2014 than either estimating our model with aggregate data alone or performing back-of-the-envelope calculations that directly extrapolate from well-identified regional elasticities.

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Item type	Home library	Collection	Call number	Status	Date due	Barcode	Item holds
Working Paper	Biblioteca Digital	Colección NBER	nber w21956 (Browse shelf(Opens below))	Not For Loan

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February 2016.

Making inferences about aggregate business cycles from regional variation alone is diffcult because of economic channels and shocks that differ between regional and aggregate economies. However, we argue that regional business cycles contain valuable information that can help discipline models of aggregate fluctuations. We begin by documenting a strong relationship across US states between local employment and wage growth during the Great Recession. This relationship is much weaker in US aggregates. Then, we present a methodology that combines such regional and aggregate data in order to estimate a medium-scale New Keynesian DSGE model. We find that aggregate demand shocks were important drivers of aggregate employment during the Great Recession, but the wage stickiness necessary for them to account for the slow employment recovery and the modest fall in aggregate wages is inconsistent with the flexibility of wages we observe across US states. Finally, we show that our methodology yields different conclusions about the causes of aggregate employment and wage dynamics between 2007 and 2014 than either estimating our model with aggregate data alone or performing back-of-the-envelope calculations that directly extrapolate from well-identified regional elasticities.