Tracking weekly state-level economic conditions

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Authors

Baumeister, Christiane
Leiva-Leon, Danilo
Sims, Eric

Journal Title

Journal ISSN

Volume Title

Publisher

MIT Press

Abstract

This paper develops 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 find considerable cross-state heterogeneity in the length, depth, and timing of business cycles. We illustrate the usefulness of these state-level indices for quantifying the main contributors to the economic collapse caused by the COVID-19 pandemic and for evaluating the effectiveness of the Paycheck Protection Program. We also propose an aggregate indicator that gauges the overall weakness of the U.S. economy.

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Keywords

Economic conditions indices, Local economic conditions, Government policies, Weekly indicators, State economies, Cross-state heterogeneity, Mixed-frequency dynamic factor model, Economic weakness index, Markov-switching, Recession probabilities

Sustainable Development Goals

SDG-08:Decent work and economic growth

Citation

Baumeister, C., Leiva-León, D. & Sims, E. 2024, 'Tracking weekly state-level economic conditions', Review of Economics and Statistics, vol. 106, no. 2, pp. 483-504, doi : 10.1162/rest_a_01171.