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Income Losses of Women and Men Injured at Work

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  • Leslie I. Boden
  • Monica Galizzi

Abstract

Women and men injured at work in Wisconsin during 1989 and 1990 have similar levels of lost earnings in the quarter of injury. However, in the three and one-half years after the post-injury quarter, women lose an average of 9.2 percent of earnings, while men lose only 6.5 percent. Even after accounting for covariates with a variant of the Oaxaca-Blinder- Neumark decomposition, the disparity in long-term losses remains. Differences in injury-related nonemployment account for about half the covariate-adjusted gap over the four-year post-injury period. Changes in hours worked may explain all or part of the remaining gap. Gender differences in labor supply appear likely to account for much of the disparity in losses, but discrimination remains a viable explanation.

Suggested Citation

  • Leslie I. Boden & Monica Galizzi, 2003. "Income Losses of Women and Men Injured at Work," Journal of Human Resources, University of Wisconsin Press, vol. 38(3).
    • Handle: RePEc:uwp:jhriss:v:38:y:2003:i:3:p722-757
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    References listed on IDEAS

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    Cited by:

    1. Keith Bender & Colin Green & John Heywood, 2012. "Piece rates and workplace injury: Does survey evidence support Adam Smith?," Journal of Population Economics, Springer;European Society for Population Economics, vol. 25(2), pages 569-590, January.
    2. repec:mpr:mprres:8158 is not listed on IDEAS
    3. Andersen, Signe Hald, 2010. "The cost of sickness: On the effect of the duration of sick leave on post-sick leave earnings," Social Science & Medicine, Elsevier, vol. 70(10), pages 1581-1589, May.
    4. G. Russo & W.H.J. Hassink, 2005. "The Part-Time Wage Penalty: a Career Perspective," Working Papers 05-01, Utrecht School of Economics.
    5. Pedersen, Morten Saaby & Arendt, Jacob Nielsen, 2014. "Bargaining for health: A case study of a collective agreement-based health program for manual workers," Journal of Health Economics, Elsevier, vol. 37(C), pages 123-136.
    6. Ángel Martín-Román & Alfonso Moral, 2017. "A methodological proposal to evaluate the cost of duration moral hazard in workplace accident insurance," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(9), pages 1181-1198, December.
    7. Sarah Crichton & Steven Stillman & Dean Hyslop, 2011. "Returning to Work from Injury: Longitudinal Evidence on Employment and Earnings," ILR Review, Cornell University, ILR School, vol. 64(4), pages 765-785, July.
    8. Woock, Christopher, 2007. "The earnings losses of injured men: Accounting for injuries outside the Workers' Compensation system," MPRA Paper 14688, University Library of Munich, Germany.
    9. Monica Galizzi & Tommaso Tempesti, 2015. "Workers’ Risk Tolerance and Occupational Injuries," Risk Analysis, John Wiley & Sons, vol. 35(10), pages 1858-1875, October.
    10. Paul Frijters & Gigi Foster & David W. Johnston, 2012. "The triumph of hope over regret: A note on the utility value of good health expectations," Discussion Papers Series 451, School of Economics, University of Queensland, Australia.
    11. Elder, Todd E. & Goddeeris, John H. & Haider, Steven J., 2010. "Unexplained gaps and Oaxaca-Blinder decompositions," Labour Economics, Elsevier, vol. 17(1), pages 284-290, January.
    12. Nan Maxwell & Albert Liu & Nathan Wozny & Caroline Massad Francis, 2013. "Addressing Return-to-Work Issues in the Federal Employees' Compensation Act with Administrative Data," Mathematica Policy Research Reports 8e3f929cbea0422e8272f03ab, Mathematica Policy Research.
    13. Schurer, Stefanie & Kühnle, Daniel & Scott, Anthony & Cheng, Terence Chai, 2012. "One Man's Blessing, Another Woman's Curse? Family Factors and the Gender-Earnings Gap of Doctors," IZA Discussion Papers 7017, Institute of Labor Economics (IZA).
    14. Stefanie Schurer & Daniel Kuehnle & Anthony Scott & Terence C. Cheng, 2016. "A Man's Blessing or a Woman's Curse? The Family Earnings Gap of Doctors," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 55(3), pages 385-414, July.
    15. McLaren, Christopher F. & Reville, Robert T. & Seabury, Seth A., 2017. "How effective are employer return to work programs?," International Review of Law and Economics, Elsevier, vol. 52(C), pages 58-73.
    16. Jeon, Sung-Hee & Pohl, R. Vincent, 2017. "Health and work in the family: Evidence from spouses’ cancer diagnoses," Journal of Health Economics, Elsevier, vol. 52(C), pages 1-18.
    17. Woock, Christopher, 2009. "Do unions protect injured workers from earnings losses?," MPRA Paper 16856, University Library of Munich, Germany.
    18. Gabriele Mazzolini, 2020. "The Economic Consequences of Accidents at Work," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 82(5), pages 1068-1093, October.
    19. Russo, Giovanni & Hassink, Wolter, 2005. "The Part-Time Wage Penalty: A Career Perspective," IZA Discussion Papers 1468, Institute of Labor Economics (IZA).
    20. Mohamed Ali Ben Halima & Camille Regaert, 2015. "Quel est l’impact de la survenue d’un accident du travail sur la santé et le parcours professionnel ?," Working Papers DT68, IRDES institut for research and information in health economics, revised Jul 2015.
    21. Bronchetti, Erin Todd, 2012. "Workers' compensation and consumption smoothing," Journal of Public Economics, Elsevier, vol. 96(5), pages 495-508.
    22. Foster, Gigi & Frijters, Paul & Johnston, David W., 2012. "The triumph of hope over disappointment: A note on the utility value of good health expectations," Journal of Economic Psychology, Elsevier, vol. 33(1), pages 206-214.
    23. repec:mpr:mprres:7900 is not listed on IDEAS
    24. Galizzi, Monica & Zagorsky, Jay L., 2009. "How do on-the-job injuries and illnesses impact wealth?," Labour Economics, Elsevier, vol. 16(1), pages 26-36, January.
    25. Nan L. Maxwell & Nathan Wozny, "undated". "Risk Factors Associated with Disability Following Work-Related Injuries," Mathematica Policy Research Reports 3cd8cee9c4814af5a406f839c, Mathematica Policy Research.

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