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The Timing of Mass Layoff Episodes : Evidence from U.S. Microdata

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  • Alison E. Weingarden

Abstract

This paper studies employment decisions at U.S. companies over the 2007-2012 period, during and after the Great Recession. To this end, I build a panel dataset that matches publicly-listed companies' financial reports to their announced layoff episodes. Using limited dependent variable regressions, I find that layoffs respond to accumulated changes in a company's financial conditions. While recent financial changes have the largest impacts on layoff propensities, financial changes over at least four previous quarters appear to have additional marginal effects.

Suggested Citation

  • Alison E. Weingarden, 2017. "The Timing of Mass Layoff Episodes : Evidence from U.S. Microdata," Finance and Economics Discussion Series 2017-088, Board of Governors of the Federal Reserve System (U.S.).
  • Handle: RePEc:fip:fedgfe:2017-88
    DOI: 10.17016/FEDS.2017.088
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    References listed on IDEAS

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    4. Farber, Henry S. & Hallock, Kevin F., 2009. "The changing relationship between job loss announcements and stock prices: 1970-1999," Labour Economics, Elsevier, vol. 16(1), pages 1-11, January.
    5. Steven J. Davis & R. Jason Faberman & John Haltiwanger, 2006. "The Flow Approach to Labor Markets: New Data Sources and Micro-Macro Links," Journal of Economic Perspectives, American Economic Association, vol. 20(3), pages 3-26, Summer.
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    More about this item

    Keywords

    Downsizing; Employment adjustment costs;

    JEL classification:

    • 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
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity

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