Tracking weekly state-level economic conditions
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Date
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.
Description
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.
