A New Claims-Based Unemployment Dataset: Application to Postwar Recoveries Across U.S. States

Andrew Fieldhouse, Sean Howard, Christoffer Koch and David Munro

No 2022/117, IMF Working Papers from International Monetary Fund

Abstract: Using newly digitized unemployment insurance claims data we construct a historical monthly unemployment series for U.S. states going back to January 1947. The constructed series are highly correlated with the Bureau of Labor Statics' state-level unemployment data, which are only available from January 1976 onwards, and capture consistent patterns in the business cycle. We use our claims-based unemployment series to examine the evolving pace of post-war unemployment recoveries at the state level. We find that faster recoveries are associated with greater heterogeneity in the recovery rate of unemployment and slower recoveries tend to be more uniformly paced across states. In addition, we find that the pace of unemployment recoveries is strongly correlated with a states' manufacturing share of output.

Keywords: State-Level Unemployment Rates; Unemployment Insurance; Economic Recoveries; Regional Business Cycles; unemployment recovery; unemployment series; unemployment dataset; recession date; unemployment rate series; Unemployment rate; Economic recession; Unemployment; Business cycles; Labor markets (search for similar items in EconPapers)
Pages: 56
Date: 2022-06-10
New Economics Papers: this item is included in nep-his and nep-lab
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Working Paper: A New Claims-Based Unemployment Dataset: Application to Postwar Recoveries Across U.S. States (2022)
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