Tracking Weekly State-Level Economic Conditions

Christiane Baumeister, Danilo Leiva-Leon () and Eric R. Sims

No 29003, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: In this paper, we develop a novel dataset of weekly economic conditions indices for the 50 U.S. states going back to 1987 based on mixed-frequency dynamic factor models with weekly, monthly, and quarterly variables that cover multiple dimensions of state economies. We show that there is considerable heterogeneity in the length, depth, and timing of business cycles across individual states. We assess the role of states in national recessions and propose an aggregate indicator that allows us to gauge the overall weakness of the U.S. economy. We also illustrate the usefulness of these state-level indices for quantifying the main forces contributing to the economic collapse caused by the COVID-19 pandemic and for evaluating the effectiveness of federal economic policies like the Paycheck Protection Program.

JEL-codes: C32 C55 E32 E66 (search for similar items in EconPapers)
Date: 2021-07
New Economics Papers: this item is included in nep-mac
Note: EFG ME
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Citations: View citations in EconPapers (5)

Published as Christiane Baumeister, Danilo Leiva-León, Eric Sims; Tracking Weekly State-Level Economic Conditions. The Review of Economics and Statistics 2022

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http://www.nber.org/papers/w29003.pdf (application/pdf)

Related works:
Journal Article: Tracking Weekly State-Level Economic Conditions (2024)
Working Paper: Tracking weekly state-level economic conditions (2021)
Working Paper: Tracking Weekly State-Level Economic Conditions (2021)
Working Paper: Tracking Weekly State-Level Economic Conditions (2021)
Working Paper: Tracking weekly state-level economic conditions (2021)
Working Paper: Tracking Weekly State-Level Economic Conditions (2021)
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