Using the Eye of the Storm to Predict the Wave of Covid-19 UI Claims
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DOI: 10.21033/wp-2020-10
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- Daniel Aaronson & Scott A. Brave & R. Andrew Butters & Daniel W. Sacks & Boyoung Seo, 2020. "Using the Eye of the Storm to Predict the Wave of Covid-19 UI Claims," Working Paper Series WP 2020-10, Federal Reserve Bank of Chicago.
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Cited by:
- Magdalena Kozera-Kowalska & Jarosław Uglis, 2021. "Students’ Perception of Education as a Preparation to Enter the Labour Market: A Case Study from a Polish University," European Research Studies Journal, European Research Studies Journal, vol. 0(3B), pages 338-349.
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More about this item
Keywords
unemployment insurance; Google Trends; hurricanes; search; unemployment; COVID-19;All these keywords.
JEL classification:
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- H12 - Public Economics - - Structure and Scope of Government - - - Crisis Management
- J65 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment Insurance; Severance Pay; Plant Closings
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2021-06-28 (Big Data)
- NEP-FOR-2021-06-28 (Forecasting)
- NEP-IAS-2021-06-28 (Insurance Economics)
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