IDEAS home Printed from https://ideas.repec.org/a/bla/jrinsu/v77y2010i1p231-260.html
   My bibliography  Save this article

Evaluating Permanent Disability Ratings Using Empirical Data on Earnings Losses

Author

Listed:
  • Jayanta Bhattacharya
  • Frank Neuhauser
  • Robert T. Reville
  • Seth A. Seabury

Abstract

Workers' compensation systems are typically designed to assign higher permanent disability benefits to workers with more severe disabilities. However, little or no scientific work exists to guide the design of ratings systems to properly account for the amount of earnings power lost due to disability. In this article, we examine the effectiveness of disability ratings using matched administrative data on ratings and earnings for a large, representative sample of permanent disability claimants in California. We find that while workers with higher ratings do experience larger earnings losses on average, there are large and persistent differences in average earnings losses for similarly rated impairments in different parts of the body. We then explore how adjusting permanent disability ratings to reflect cross‐impairment differences in earnings losses can affect the equity of permanent disability benefits. Adjusting disability ratings to account for typical earnings losses reduces cross‐impairment differences substantially. The adjusted ratings result in a more equitable distribution of disability benefits across workers with different impairments.

Suggested Citation

  • Jayanta Bhattacharya & Frank Neuhauser & Robert T. Reville & Seth A. Seabury, 2010. "Evaluating Permanent Disability Ratings Using Empirical Data on Earnings Losses," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 77(1), pages 231-260, March.
  • Handle: RePEc:bla:jrinsu:v:77:y:2010:i:1:p:231-260
    DOI: 10.1111/j.1539-6975.2009.01343.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1539-6975.2009.01343.x
    Download Restriction: no

    File URL: https://libkey.io/10.1111/j.1539-6975.2009.01343.x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. LaLonde, Robert J, 1986. "Evaluating the Econometric Evaluations of Training Programs with Experimental Data," American Economic Review, American Economic Association, vol. 76(4), pages 604-620, September.
    2. Guido W. Imbens & Donald B. Rubin & Bruce I. Sacerdote, 2001. "Estimating the Effect of Unearned Income on Labor Earnings, Savings, and Consumption: Evidence from a Survey of Lottery Players," American Economic Review, American Economic Association, vol. 91(4), pages 778-794, September.
    3. Heckman, J.J. & Hotz, V.J., 1988. "Choosing Among Alternative Nonexperimental Methods For Estimating The Impact Of Social Programs: The Case Of Manpower Training," University of Chicago - Economics Research Center 88-12, Chicago - Economics Research Center.
    4. Krueger, Alan B., 1990. "Incentive effects of workers' compensation insurance," Journal of Public Economics, Elsevier, vol. 41(1), pages 73-99, February.
    5. Boden, Leslie I, 1992. "Dispute Resolution in Workers' Compensation," The Review of Economics and Statistics, MIT Press, vol. 74(3), pages 493-502, August.
    6. Robert T. Reville & Robert F. Schoeni, 2001. "Disability from Injuries at Work: The Effects on Earnings and Employment," Working Papers 01-08, RAND Corporation.
    7. Robert T. Reville & Robert F. Schoeni, 2001. "Disability from Injuries at Work The Effects on Earnings and Employment," Working Papers DRU-2554, RAND Corporation.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    2. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    3. Guido W. Imbens, 2015. "Matching Methods in Practice: Three Examples," Journal of Human Resources, University of Wisconsin Press, vol. 50(2), pages 373-419.
    4. Susan Athey & Guido W. Imbens, 2017. "The State of Applied Econometrics: Causality and Policy Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 3-32, Spring.
    5. 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.
    6. Seth A. Seabury & Robert T. Reville & Frank Neuhauser, 2006. "Physician Shopping in Workers' Compensation: Evidence from California," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 3(1), pages 47-77, March.
    7. Dettmann, E. & Becker, C. & Schmeißer, C., 2011. "Distance functions for matching in small samples," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1942-1960, May.
    8. James J. Heckman, 1991. "Randomization and Social Policy Evaluation Revisited," NBER Technical Working Papers 0107, National Bureau of Economic Research, Inc.
    9. Jeffrey Smith, 2000. "A Critical Survey of Empirical Methods for Evaluating Active Labor Market Policies," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 136(III), pages 247-268, September.
    10. Tymon Słoczyński, 2015. "The Oaxaca–Blinder Unexplained Component as a Treatment Effects Estimator," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(4), pages 588-604, August.
    11. Hämäläinen, Kari & Ollikainen, Virve, 2004. "Differential Effects of Active Labour Market Programmes in the Early Stages of Young People's Unemployment," Research Reports 115, VATT Institute for Economic Research.
    12. James J. Heckman, 1991. "Randomization and Social Policy Evaluation Revisited," NBER Technical Working Papers 0107, National Bureau of Economic Research, Inc.
    13. Bruno Van der Linden, 1997. "Effets des formations professionnelles et des aides à l'embauche : exploitation d'une enquête auprès d'employeurs belges," Économie et Prévision, Programme National Persée, vol. 131(5), pages 113-130.
    14. Denis Conniffe & Vanessa Gash & Philip J. O'Connell, 2000. "Evaluating State Programmes - “Natural Experiments” and Propensity Scores," The Economic and Social Review, Economic and Social Studies, vol. 31(4), pages 283-308.
    15. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    16. Regner, Hakan, 2002. "A nonexperimental evaluation of training programs for the unemployed in Sweden," Labour Economics, Elsevier, vol. 9(2), pages 187-206, April.
    17. Metcalf, Charles E., 1997. "The Advantages of Experimental Designs for Evaluating Sex Education Programs," Children and Youth Services Review, Elsevier, vol. 19(7), pages 507-523, November.
    18. Dettmann, Eva & Becker, Claudia & Schmeißer, Christian, 2010. "Is there a Superior Distance Function for Matching in Small Samples?," IWH Discussion Papers 3/2010, Halle Institute for Economic Research (IWH).
    19. Carlos A. Flores & Oscar A. Mitnik, 2009. "Evaluating Nonexperimental Estimators for Multiple Treatments: Evidence from Experimental Data," Working Papers 2010-10, University of Miami, Department of Economics.
    20. Francisco Parro & R. Vincent Pohl, 2021. "The effect of accidents on labor market outcomes: Evidence from Chile," Health Economics, John Wiley & Sons, Ltd., vol. 30(5), pages 1015-1032, May.

    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:bla:jrinsu:v:77:y:2010:i:1:p:231-260. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/ariaaea.html .

    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.