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Demographic and Time Patterns in Layoffs and Quits

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  • James W. Moser

Abstract

This article decomposes the monthly transition from employment to unemployment as measured by gross flow data into layoffs and quits for ten age-sex groups. It examines three patterns for each subflow over the 1967-83 periods and compares age and sex groups. It finds that layoffs are more cyclically sensitive than quits into unemployment and that trend is a more influential determinant of layoffs than business cycle factors for most males whereas the opposite is true for most females. Other researchers have not found such robust cyclical results, probably because they have not distinguished between layoffs and quits in the employment-to-unemployment transition. Policy implications are briefly discussed.

Suggested Citation

  • James W. Moser, 1986. "Demographic and Time Patterns in Layoffs and Quits," Journal of Human Resources, University of Wisconsin Press, vol. 21(2), pages 178-199.
    • Handle: RePEc:uwp:jhriss:v:21:y:1986:i:2:p:178-199
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    Cited by:

    1. Dan Goldhaber & Roddy Theobald, 2013. "Managing the Teacher Workforce in Austere Times: The Determinants and Implications of Teacher Layoffs," Education Finance and Policy, MIT Press, vol. 8(4), pages 494-527, October.
    2. Niall O'Higgins, 1997. "The challenge of youth unemployment," International Social Security Review, John Wiley & Sons, vol. 50(4), pages 63-93, October.
    3. Nir Jaimovich & Henry E. Siu, 2009. "The Young, the Old, and the Restless: Demographics and Business Cycle Volatility," American Economic Review, American Economic Association, vol. 99(3), pages 804-826, June.
    4. O'Higgins, Niall, 2001. "Youth unemployment and employment policy: a global perspective," MPRA Paper 23698, University Library of Munich, Germany.
    5. Huanan Xu & Kenneth A. Couch, 2017. "The business cycle, labor market transitions by age, and the great recession," Applied Economics, Taylor & Francis Journals, vol. 49(52), pages 5370-5396, November.

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