Making inferences about aggregate business cycles from regional variation alone is difficult 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 U.S. states between local employment and wage growth during the Great Recession. This relationship is much weaker in U.S. 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 U.S. 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.

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.

No 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.

We show that, to form aggregate inflation expectations, consumers rely on the price changes they face in their daily lives while grocery shopping. Specifically, the frequency and size of price changes, rather than their expenditure share, matter for individuals' inflation expectations. To document these facts, we collect novel micro data for a representative US sample that uniquely match individual expectations, detailed information about consumption bundles, and item-level prices. Our results suggest that the frequency and size of grocery-price changes to which consumers are personally exposed should be incorporated in models of expectations formation. Central banks' focus on core inflation-which excludes grocery prices-to design expectations-based policies might lead to systematic mistakes.