[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/nys/sunysb/05-02.html
   My bibliography  Save this paper

How Large are the Classification Errors in the Social Security Disability Award Process?

Author

Listed:
  • Hugo Benitez-Silva

    (Dept. of Economics, SUNY at Stony Brook)

  • Moshe Buchinsky

    (UCLA and NBER)

  • John Rust

    (University of Maryland)

Abstract
This paper presents an .audit. of the multistage application and appeal process that the U.S. Social Security Administration (SSA) uses to determine eligibility for disability benefits from the Disability Insurance (DI) and Supplemental Security Income (SSI) programs. We use a subset of individuals from the Health and Retirement Study who applied for DI or SSI benefits between 1992 and 1996, to estimate classification error rates under the hypothesis that applicants' self-reported disability status and the SSA's ultimate award decision are noisy but unbiased indicators of a latent .true disability status. indicator. We find that approximately 20% of SSI/DI applicants who are ultimately awarded benefits are not disabled, and that 60% of applicants who were denied benefits are disabled. We also construct an optimal statistical screening rule that results in significantly lower classification error rates than does SSA's current award process.

Suggested Citation

  • Hugo Benitez-Silva & Moshe Buchinsky & John Rust, 2005. "How Large are the Classification Errors in the Social Security Disability Award Process?," Department of Economics Working Papers 05-02, Stony Brook University, Department of Economics.
    • Handle: RePEc:nys:sunysb:05-02
    as

    Download full text from publisher

    File URL: http://ms.cc.sunysb.edu/~hbenitezsilv/dice.pdf
    File Function: First version, 2005
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Bound, John & Burkhauser, Richard V., 1999. "Economic analysis of transfer programs targeted on people with disabilities," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 51, pages 3417-3528, Elsevier.
    2. John Bound & Timothy Waidmann, 1992. "Disability Transfers, Self-Reported Health, and the Labor Force Attachment of Older Men: Evidence from the Historical Record," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(4), pages 1393-1419.
    3. Benitez-Silva, Hugo & Buchinsky, Moshe & Chan, Hiu Man & Rust, John & Sheidvasser, Sofia, 1999. "An empirical analysis of the social security disability application, appeal, and award process," Labour Economics, Elsevier, vol. 6(2), pages 147-178, June.
    4. John Rust & Christopher Phelan, 1997. "How Social Security and Medicare Affect Retirement Behavior in a World of Incomplete Markets," Econometrica, Econometric Society, vol. 65(4), pages 781-832, July.
    5. Diamond, P. A. & Mirrlees, J. A., 1978. "A model of social insurance with variable retirement," Journal of Public Economics, Elsevier, vol. 10(3), pages 295-336, December.
    6. Jianting Hu & Kajal Lahiri & Denton R. Vaughan & Bernard Wixon, 2001. "A Structural Model Of Social Security'S Disability Determination Process," The Review of Economics and Statistics, MIT Press, vol. 83(2), pages 348-361, May.
    7. Hugo Benítez-Silva & Moshe Buchinsky & Hiu Man Chan & Sofia Cheidvasser & John Rust, 2004. "How large is the bias in self-reported disability?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(6), pages 649-670.
    8. Parsons, Donald O., 1996. "Imperfect 'tagging' in social insurance programs," Journal of Public Economics, Elsevier, vol. 62(1-2), pages 183-207, October.
    9. Haveman, Robert & Wolfe, Barbara, 2000. "The economics of disability and disability policy," Handbook of Health Economics, in: A. J. Culyer & J. P. Newhouse (ed.), Handbook of Health Economics, edition 1, volume 1, chapter 18, pages 995-1051, Elsevier.
    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. Lahiri, Kajal & Song, Jae & Wixon, Bernard, 2008. "A model of Social Security Disability Insurance using matched SIPP/Administrative data," Journal of Econometrics, Elsevier, vol. 145(1-2), pages 4-20, July.
    2. Hugo Benítez-Silva & Richard Disney & Sergi Jiménez-Martín, 2010. "Disability, capacity for work and the business cycle: an international perspective [Has the boom in incapacity benefit claimant numbers passed its peak?]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 25(63), pages 483-536.
    3. Hugo Benítez-Silva & Moshe Buchinsky & Hiu Man Chan & Sofia Cheidvasser & John Rust, 2004. "How large is the bias in self-reported disability?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(6), pages 649-670.
    4. Burkhauser, Richard V. & Butler, J. S. & Gumus, Gulcin, 2003. "Option Value and Dynamic Programming Model Estimates of Social Security Disability Insurance Application Timing," IZA Discussion Papers 941, Institute of Labor Economics (IZA).
    5. Kreider, Brent & Pepper, John V., 2007. "Disability and Employment: Reevaluating the Evidence in Light of Reporting Errors," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 432-441, June.
    6. Brent Kreider & John Pepper, 2008. "Inferring disability status from corrupt data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(3), pages 329-349.
    7. Mikhail Golosov & Aleh Tsyvinski, 2003. "Designing optimal disability insurance," Working Papers 628, Federal Reserve Bank of Minneapolis.
    8. Jean-Marie Lozachmeur, 2006. "Disability insurance and optimal income taxation," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 13(6), pages 717-732, November.
    9. Michel, DE VROEY, 2006. "Getting Rid of Keynes ? A reflection on the history of macroeconomics," Discussion Papers (ECON - Département des Sciences Economiques) 2006051, Université catholique de Louvain, Département des Sciences Economiques.
    10. Laurence, JACQUET, 2006. "Optimal disability assistance when fraud and stigma matter," Discussion Papers (ECON - Département des Sciences Economiques) 2006052, Université catholique de Louvain, Département des Sciences Economiques.
    11. Oliver Denk & Jean‐Baptiste Michau, 2018. "Optimal Social Security with Imperfect Tagging," Scandinavian Journal of Economics, Wiley Blackwell, vol. 120(3), pages 717-762, July.
    12. Hamish Low & Luigi Pistaferri, 2015. "Disability Insurance and the Dynamics of the Incentive Insurance Trade-Off," American Economic Review, American Economic Association, vol. 105(10), pages 2986-3029, October.
    13. Tomi T. Kortela, 2011. "On the costs of disability insurance," 2011 Meeting Papers 445, Society for Economic Dynamics.
    14. Laurence Jacquet, 2014. "Tagging and redistributive taxation with imperfect disability monitoring," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 42(2), pages 403-435, February.
    15. Roger Wilkins, 2003. "Labour Market Outcomes and Welfare Dependence of Persons with Disabilities in Australia," Melbourne Institute Working Paper Series wp2003n02, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    16. Hamish Low & Luigi Pistaferri, 2019. "Disability Insurance: Error Rates and Gender Differences," Economics Series Working Papers 889, University of Oxford, Department of Economics.
    17. Sergi Jiménez-Martín & José M. Labeaga & Cristina Vilaplana Prieto, 2006. "Award errors and permanent disability benefits in Spain," Economics Working Papers 966, Department of Economics and Business, Universitat Pompeu Fabra.
    18. Hamish Low & Luigi Pistaferri, 2010. "Disability Risk, Disability Insurance and Life Cycle Behavior," NBER Working Papers 15962, National Bureau of Economic Research, Inc.
    19. Eric French & Jae Song, 2014. "The Effect of Disability Insurance Receipt on Labor Supply," American Economic Journal: Economic Policy, American Economic Association, vol. 6(2), pages 291-337, May.
    20. Olivia S. Mitchell & John W. R. Phillips, 2000. "Retirement Responses to Early Social Security Benefit Reductions," Working Papers wp006, University of Michigan, Michigan Retirement Research Center.

    More about this item

    Keywords

    Social Security Disability Insurance; Supplemental Security Income; Health and Retirement Study; Classification Errors.;
    All these keywords.

    JEL classification:

    • H5 - Public Economics - - National Government Expenditures and Related Policies

    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:nys:sunysb:05-02. 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: https://edirc.repec.org/data/edstous.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.