What Do We Learn from Cross-Regional Empirical Estimates in Macroeconomics?, , ,
Chapter in NBER book NBER Macroeconomics Annual 2020, volume 35 (2020), Martin Eichenbaum and Erik Hurst, editors (p. 175 - 223) Recent empirical work uses variation across cities or regions to identify the effects of economic shocks of interest to macroeconomists. The interpretation of such estimates is complicated by the fact that they reflect both partial equilibrium and local general equilibrium effects of the shocks. We propose an approach for recovering estimates of partial equilibrium effects from these cross-regional empirical estimates. The basic idea is to divide the cross-regional estimate by an estimate of the local fiscal multiplier, which measures the strength of local general equilibrium amplification. We apply this approach to recent estimates of housing wealth effects based on city-level variation, and derive conditions under which the adjustment is exact. We then evaluate its accuracy in a richer general equilibrium model of consumption and housing. The paper also reconciles the positive cross-sectional correlation between house price growth and construction with the notion that cities with larger price volatility have lower housing supply elasticities using a model in which housing supply elasticities are more dispersed in the long run than in the short run. This chapter is no longer available for free download, since the book has been published. To obtain a copy, you must buy the book.
Supplementary materials for this chapter: Machine-readable bibliographic record - MARC, RIS, BibTeX This chapter first appeared as NBER working paper w26881, What Do We Learn From Cross-Regional Empirical Estimates in Macroeconomics?, Adam Guren, Alisdair McKay, Emi Nakamura, Jón SteinssonCommentary on this chapter: Comment, Valerie A. Ramey Comment, Gabriel Chodorow-Reich |

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