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Unemployment and Effort at Work

Author

Listed:
  • Michael C. Burda
  • Katie R. Genadek
  • Daniel S. Hamermesh

Abstract

We measure the sensitivity of work effort to local labour market conditions using self‐reported non‐work at the workplace in the American Time Use Survey (ATUS) 2003–12. Non‐work at work is quantitatively significant and varies positively with local unemployment, but in opposite directions at the extensive and intensive margins. The fraction of workers reporting positive values declines with unemployment, while time spent in non‐work conditional on any such time rises with unemployment. The results speak to issues of labour hoarding, efficiency wages and the cyclicality of labour productivity. We also demonstrate a relationship between the incidence of non‐work and unemployment benefits in state data linked to the ATUS. There are also pronounced occupational differences in the incidence and intensity of non‐work.

Suggested Citation

  • Michael C. Burda & Katie R. Genadek & Daniel S. Hamermesh, 2020. "Unemployment and Effort at Work," Economica, London School of Economics and Political Science, vol. 87(347), pages 662-681, July.
  • Handle: RePEc:bla:econom:v:87:y:2020:i:347:p:662-681
    DOI: 10.1111/ecca.12324
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    References listed on IDEAS

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    Cited by:

    1. Lewis, Vivien & Villa, Stefania, 2026. "Labor productivity, effort and the Euro Area business cycle," European Economic Review, Elsevier, vol. 183(C).
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    3. Ciccia, Diego & Distefano, Rosaria & Reito, Francesco, 2022. "The mismatch between potential and actual shirking in a model of bureaucracy," MPRA Paper 115452, University Library of Munich, Germany.
    4. Borjas, George J. & Hamermesh, Daniel S., 2023. "The Mismeasurement of Work Time: Implications for Wage Discrimination and Inequality," IZA Discussion Papers 16699, IZA Network @ LISER.
    5. Maarten Dossche & Andrea Gavazzi & Vivien Lewis, 2023. "Labor Adjustment and Productivity in the OECD," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 47, pages 111-130, January.
    6. Chadi, Adrian & Hetschko, Clemens, 2025. "Income or leisure? On the hidden benefits of (un)employment," European Economic Review, Elsevier, vol. 171(C).
    7. Giménez-Nadal, José Ignacio & Molina, José Alberto & Velilla, Jorge, 2026. "Who Shirks at Work? An Application of Machine Learning to Time Use Data," IZA Discussion Papers 18432, IZA Network @ LISER.
    8. Daniel S. Hamermesh & Katie R. Genadek & Michael C. Burda, 2022. "Reply to “Racial Differences in Time at Work Not Working†by William A. Darity Jr. et al," ILR Review, Cornell University, ILR School, vol. 75(3), pages 573-577, May.
    9. Daniel S. Hamermesh & Katie R. Genadek & Michael C. Burda, 2021. "Racial/Ethnic Differences in Non-Work at Work," ILR Review, Cornell University, ILR School, vol. 74(2), pages 272-292, March.

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