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Employer Reallocation During the COVID-19 Pandemic: Validation and Application of a Do-It-Yourself CPS

Author

Listed:
  • Alexander Bick

    (Federal Reserve Bank of St. Louis)

  • Adam Blandin

    (Vanderbilt University)

Abstract

Economists have recently begun using independent online surveys to collect national labor market data. Questions remain over the quality of such data. This paper provides an approach to address these concerns. Our case study is the Real-Time Population Survey (RPS), a novel online survey of the US built around the Current Population Survey (CPS). The RPS replicates core components of the CPS, ensuring comparable measures that allow us to weight and rigorously validate our results using a high-quality benchmark. At the same time, special questions in the RPS yield novel information regarding employer reallocation during the COVID-19 pandemic. We estimate that 26% of pre-pandemic workers were working for a new employer one year into the COVID-19 outbreak in the US, at least double the rate of any previous episode in the past quarter century. Our discussion contains practical suggestions for the design of novel labor market surveys and highlights other promising applications of our methodology. (Copyright: Elsevier)

Suggested Citation

  • Alexander Bick & Adam Blandin, 2023. "Employer Reallocation During the COVID-19 Pandemic: Validation and Application of a Do-It-Yourself CPS," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 49, pages 58-76, July.
    • Handle: RePEc:red:issued:21-141
    DOI: 10.1016/j.red.2022.11.002
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    Cited by:

    1. Alexander Bick & Adam Blandin & Aidan Caplan & Tristan Caplan, 2024. "Measuring Trends in Work From Home: Evidence from Six U.S. Datasets," Working Papers 2024-023, Federal Reserve Bank of St. Louis.
    2. Catherine Cox & Osborne Jackson, 2022. "Sectoral Mobility during the COVID-19 Pandemic," Current Policy Perspectives 95265, Federal Reserve Bank of Boston.

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    More about this item

    Keywords

    Online survey; Employment; Employer separations; Employer reallocation;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J63 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Turnover; Vacancies; Layoffs

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