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Long-term Illness and Wages: The Impact of the Risk of Occupationally Related Long-term Illness on Earnings

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Author Info

  • Robert Sandy
  • Robert F. Elliott

Abstract

Long-term illness (LTI) is a more prevalent workplace risk than fatal accidents but there is virtually no evidence for compensating differentials for a broad measure of LTI. In 1990 almost 3.4 percent of the U.K. adult population suffered from a LTI caused solely by their working conditions. This paper provides the first estimates of compensating differentials for a broad measure of work-related LTI. Using data on self-reported illnesses we find significant CDs for male manual workers but none for male nonmanual workers. These results are robust to the addition of variables for the risk of accidental at-work deaths.

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File URL: http://jhr.uwpress.org/cgi/reprint/XL/3/744
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Bibliographic Info

Article provided by University of Wisconsin Press in its journal Journal of Human Resources.

Volume (Year): 40 (2005)
Issue (Month): 3 ()
Pages:

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Handle: RePEc:uwp:jhriss:v:40:y:2005:i:2:p744-768

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Web page: http://jhr.uwpress.org/

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Cited by:
  1. Xiangdong Wei, 2007. "Wage compensation for job-related illness: Evidence from a matched employer and employee survey in the UK," Journal of Risk and Uncertainty, Springer, vol. 34(1), pages 85-98, February.
  2. Mark V. Pauly & Sean Nicholson & Daniel Polsky & Marc L. Berger & Claire Sharda, 2008. "Valuing reductions in on-the-job illness: 'presenteeism' from managerial and economic perspectives," Health Economics, John Wiley & Sons, Ltd., vol. 17(4), pages 469-485.
  3. Pouliakas, Konstantinos & Theodossiou, Ioannis, 2010. "An Inquiry into the Theory, Causes and Consequences of Monitoring Indicators of Health and Safety at Work," IZA Discussion Papers 4734, Institute for the Study of Labor (IZA).
  4. Robert Elliott & Ada Ma & Matt Sutton & Diane Skatun & Nigel Rice & Stephen Morris & Alex McConnachie, 2010. "The role of the staff MFF in distributing NHS funding: taking account of differences in local labour market conditions," Health Economics, John Wiley & Sons, Ltd., vol. 19(5), pages 532-548.
  5. Frijters, Paul & Johnston, David W. & Shields, Michael A., 2008. "Happiness Dynamics with Quarterly Life Event Data," IZA Discussion Papers 3604, Institute for the Study of Labor (IZA).

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