IDEAS home Printed from https://ideas.repec.org/a/uwp/jhriss/v40y2005i2p744-768.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • Robert Sandy & Robert F. Elliott, 2005. "Long-term Illness and Wages: The Impact of the Risk of Occupationally Related Long-term Illness on Earnings," Journal of Human Resources, University of Wisconsin Press, vol. 40(3).
    • Handle: RePEc:uwp:jhriss:v:40:y:2005:i:2:p744-768
    as

    Download full text from publisher

    File URL: http://jhr.uwpress.org/cgi/reprint/XL/3/744
    Download Restriction: A subscripton is required to access pdf files. Pay per article is available.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Siebert, W Stanley & Wei, X, 1994. "Compensating Wage Differentials for Workplace Accidents: Evidence for Union and Nonunion Workers in the UK," Journal of Risk and Uncertainty, Springer, vol. 9(1), pages 61-76, July.
    2. repec:bla:econom:v:63:y:1996:i:250:p:291-309 is not listed on IDEAS
    3. Stock, James H & Wright, Jonathan H & Yogo, Motohiro, 2002. "A Survey of Weak Instruments and Weak Identification in Generalized Method of Moments," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(4), pages 518-529, October.
    4. repec:bla:econom:v:60:y:1993:i:238:p:183-201 is not listed on IDEAS
    5. Marin, Alan & Psacharopoulos, George, 1982. "The Reward for Risk in the Labor Market: Evidence from the United Kingdom and a Reconciliation with Other Studies," Journal of Political Economy, University of Chicago Press, vol. 90(4), pages 827-853, August.
    6. Peter Dorman & Paul Hagstrom, 1998. "Wage Compensation for Dangerous Work Revisited," ILR Review, Cornell University, ILR School, vol. 52(1), pages 116-135, October.
    7. Hahn, Robert W. (ed.), 1996. "Risks, Costs, and Lives Saved: Getting Better Results from Regulation," OUP Catalogue, Oxford University Press, number 9780195211740.
    8. Hersch, Joni, 1998. "Compensating Differentials for Gender-Specific Job Injury Risks," American Economic Review, American Economic Association, vol. 88(3), pages 598-627, June.
    9. Ronald Meng, 1989. "Compensating Differences in the Canadian Labour Market," Canadian Journal of Economics, Canadian Economics Association, vol. 22(2), pages 413-424, May.
    10. Lott, John R, Jr & Manning, Richard L, 2000. "Have Changing Liability Rules Compensated Workers Twice for Occupational Hazards? Earnings Premiums and Cancer Risks," The Journal of Legal Studies, University of Chicago Press, vol. 29(1), pages 99-130, January.
    11. Moulton, Brent R, 1990. "An Illustration of a Pitfall in Estimating the Effects of Aggregate Variables on Micro Unit," The Review of Economics and Statistics, MIT Press, vol. 72(2), pages 334-338, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Stefan Pichler & Nicolas R. Ziebarth, 2015. "The Pros and Cons of Sick Pay Schemes: Testing for Contagious Presenteeism and Shirking Behavior," Discussion Papers of DIW Berlin 1509, DIW Berlin, German Institute for Economic Research.
    2. 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.
    3. Pichler, Stefan & Ziebarth, Nicolas R., 2015. "The Pros and Cons of Sick Pay Schemes: A Method to Test for Contagious Presenteeism and Shirking Behavior," IZA Discussion Papers 8850, Institute of Labor Economics (IZA).
    4. Urtasun, Ainhoa & Nuñez, Imanol, 2018. "Healthy working days: The (positive) effect of work effort on occupational health from a human capital approach," Social Science & Medicine, Elsevier, vol. 202(C), pages 79-88.
    5. Konstantinos, Pouliakas & Ioannis, Theodossiou, 2010. "An Inquiry Into the Theory, Causes and Consequences of Monitoring Indicators of Health and Safety At Work," MPRA Paper 20336, University Library of Munich, Germany.
    6. Stefan Pichler & Nicolas R. Ziebarth, 2020. "Labor Market Effects of U.S. Sick Pay Mandates," Journal of Human Resources, University of Wisconsin Press, vol. 55(2), pages 611-659.
    7. Frijters, Paul & Johnston, David W. & Shields, Michael A., 2008. "Happiness Dynamics with Quarterly Life Event Data," IZA Discussion Papers 3604, Institute of Labor Economics (IZA).
    8. Pichler, Stefan & Ziebarth, Nicolas R., 2017. "The pros and cons of sick pay schemes: Testing for contagious presenteeism and noncontagious absenteeism behavior," Journal of Public Economics, Elsevier, vol. 156(C), pages 14-33.
    9. Dieter Verhaest & Stef Adriaenssens, 2022. "Compensating wage differentials in formal and informal jobs," Kyklos, Wiley Blackwell, vol. 75(1), pages 106-126, February.
    10. Johanna Catherine Maclean & Stefan Pichler & Nicolas R. Ziebarth, 2020. "Mandated Sick Pay: Coverage, Utilization, and Crowding-In," NBER Working Papers 26832, National Bureau of Economic Research, Inc.
    11. Benkhalifa, Abdelaziz, 2010. "The value of mortality risk reductions in the Tunisian building and manufacturing industries," MPRA Paper 63617, University Library of Munich, Germany.
    12. Pichler, Stefan & Ziebarth, Nicolas R., 2024. "Sick Leave and Medical Leave in the United States: A Categorization and Recent Trends," IZA Policy Papers 206, Institute of Labor Economics (IZA).
    13. 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, April.
    14. 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, May.
    15. Benkhalifa, Abdelaziz, 2014. "Rôle du syndicat dans la détermination de la valeur de la vie statistique en Tunisie [Trade union role in determining the value of a statistical life in Tunisia]," MPRA Paper 63736, University Library of Munich, Germany.
    16. Pichler, Stefan & Ziebarth, Nicolas R., 2019. "Reprint of: The pros and cons of sick pay schemes: Testing for contagious presenteeism and noncontagious absenteeism behavior," Journal of Public Economics, Elsevier, vol. 171(C), pages 86-104.
    17. Keith A. Bender & Hosne Mridha, 2011. "The Effect of Local Area Unemployment on Compensating Wage Differentials for Injury Risk," Southern Economic Journal, John Wiley & Sons, vol. 78(2), pages 287-307, October.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Viscusi, W Kip & Aldy, Joseph E, 2003. "The Value of a Statistical Life: A Critical Review of Market Estimates throughout the World," Journal of Risk and Uncertainty, Springer, vol. 27(1), pages 5-76, August.
    2. Bellavance, Franois & Dionne, Georges & Lebeau, Martin, 2009. "The value of a statistical life: A meta-analysis with a mixed effects regression model," Journal of Health Economics, Elsevier, vol. 28(2), pages 444-464, March.
    3. Kniesner, Thomas J. & Sullivan, Ryan & Viscusi, W. Kip, 2024. "The Military VSL," IZA Discussion Papers 17441, Institute of Labor Economics (IZA).
    4. Matthew Cole & Robert Elliott & Joanne Lindley, 2009. "Dirty money: Is there a wage premium for working in a pollution intensive industry?," Journal of Risk and Uncertainty, Springer, vol. 39(2), pages 161-180, October.
    5. Dionne, Georges & Lebeau, Martin, 2010. "Le calcul de la valeur statistique d’une vie humaine," L'Actualité Economique, Société Canadienne de Science Economique, vol. 86(4), pages 487-530, décembre.
    6. Dora L. Costa & Matthew E. Kahn, 2004. "Changes in the Value of Life, 1940--1980," Journal of Risk and Uncertainty, Springer, vol. 29(2), pages 159-180, September.
    7. Arabsheibani, G R & Marin, A, 2000. "Stability of Estimates of the Compensation for Danger," Journal of Risk and Uncertainty, Springer, vol. 20(3), pages 247-269, May.
    8. Abdelaziz Benkhalifa & Paul Lanoie & Mohamed Ayadi, 2013. "Estimated hedonic wage function and value of life in an African country," Economics Bulletin, AccessEcon, vol. 33(4), pages 3023-3031.
    9. 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.
    10. Danielle Lamb & Rafael Gomez & Milad Moghaddas, 2022. "Unions and hazard pay for COVID‐19: Evidence from the Canadian Labour Force Survey," British Journal of Industrial Relations, London School of Economics, vol. 60(3), pages 606-634, September.
    11. W. Kip Viscusi & Clayton Masterman, 2017. "Anchoring biases in international estimates of the value of a statistical life," Journal of Risk and Uncertainty, Springer, vol. 54(2), pages 103-128, April.
    12. Ligthart, Jenny E. & van Oudheusden, Peter, 2015. "In government we trust: The role of fiscal decentralization," European Journal of Political Economy, Elsevier, vol. 37(C), pages 116-128.
    13. Herrera-Araujo, Daniel & Rochaix, Lise, 2020. "Does the Value per Statistical Life vary with age or baseline health? Evidence from a compensating wage study in France," Journal of Environmental Economics and Management, Elsevier, vol. 103(C).
    14. Borjas, George J. & Edo, Anthony, 2021. "Gender, Selection into Employment, and the Wage Impact of Immigration," IZA Discussion Papers 14261, Institute of Labor Economics (IZA).
    15. Bernard Fingleton & Simonetta Longhi, 2013. "The Effects Of Agglomeration On Wages: Evidence From The Micro-Level," Journal of Regional Science, Wiley Blackwell, vol. 53(3), pages 443-463, August.
    16. Ikuho Kochi & Bryan Hubbell & Randall Kramer, 2006. "An Empirical Bayes Approach to Combining and Comparing Estimates of the Value of a Statistical Life for Environmental Policy Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 34(3), pages 385-406, July.
    17. Konstantinos, Pouliakas & Ioannis, Theodossiou, 2010. "An Inquiry Into the Theory, Causes and Consequences of Monitoring Indicators of Health and Safety At Work," MPRA Paper 20336, University Library of Munich, Germany.
    18. Christian Rupietta & Uschi Backes-Gellner, 2019. "How firms’ participation in apprenticeship training fosters knowledge diffusion and innovation," Journal of Business Economics, Springer, vol. 89(5), pages 569-597, July.
    19. Zac Reynolds & Daehoon Nahm & Craig MacMillan, 2022. "Compensating Wage Differentials for Job Fatality and Injury Risk in Australia," The Economic Record, The Economic Society of Australia, vol. 98(321), pages 152-165, June.
    20. Uschi Backes-Gellner & Christian Rupietta & Simone N. Tuor Sartore, 2017. "Reverse educational spillovers at the firm level," Evidence-based HRM, Emerald Group Publishing Limited, vol. 5(1), pages 80-106, April.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:uwp:jhriss:v:40:y:2005:i:2:p744-768. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: http://jhr.uwpress.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.