Data and Code for: Severe Weather and the Macroeconomy
Principal Investigator(s): View help for Principal Investigator(s) Hee Soo Kim, Indiana University; Christian Matthes, Indiana University; Toan Phan, Federal Reserve Bank of Richmond
Version: View help for Version V1
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Project Citation:
Kim, Hee Soo, Matthes, Christian, and Phan, Toan. Data and Code for: Severe Weather and the Macroeconomy. Nashville, TN: American Economic Association [publisher], 2025. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2025-03-11. https://doi.org/10.3886/E206581V1
Project Description
Summary:
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We investigate the impact of severe weather shocks on the US macroeconomy over the past sixty years. Using a nonlinear vector autoregressive model, we find robust evidence of time-varying effects. While negligible at the beginning of the sample, the impact becomes significant at the end, where an increase in the severe weather index reduces aggregate industrial production and consumption growth rates, and raises aggregate unemployment and inflation rates. The effects are persistent for up to twenty months. Our findings suggest limited adaptation to the increased severity of weather in the United States, at least at the macroeconomic level.
Scope of Project
Subject Terms:
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macroeconomics;
weather
JEL Classification:
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E23 Macroeconomics: Production
Q54 Climate; Natural Disasters and Their Management; Global Warming
E23 Macroeconomics: Production
Q54 Climate; Natural Disasters and Their Management; Global Warming
Geographic Coverage:
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USA national
Time Period(s):
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4/1963 – 5/2019
Collection Date(s):
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2020 – 2024
Universe:
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Macroeconomic (national aggregate) data
Severe weather index (national aggregate) data
Severe weather index (national aggregate) data
Data Type(s):
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aggregate data
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