IDEAS home Printed from https://ideas.repec.org/p/mrr/papers/wp032.html
   My bibliography  Save this paper

Applications, Denials, and Appeals for Social Security Disability Insurance

Author

Listed:
  • Olivia S. Mitchell

    (University of Pennsylvania and NBER)

  • John W.R. Phillips

    (Social Security Administration)

Abstract

This project explores the process by which older workers apply for, and are awarded, Social Security Disability Insurance (DI) benefits. Our focus is on how and whether DI serves as a path out of the labor market at older ages. This research is important to the extent that proposals to raise the early retirement age under Social Security alter the opportunity set available to older workers. Identifying the characteristics of older workers who apply for DI under current rules, those who are rejected after application, and those who then go on to appeal, can provide policymakers with insight regarding the potential well-being of the “at risk” population if the early retirement age were to rise. We use data from the Health and Retirement Study to compare older workers prior to application, and use these characteristics to predict future DI application and award patterns. The findings indicate that older people initially in poor health and with low economic status are more likely to apply for DI thereafter, as compared to those reporting no health problems and with more assets. Nevertheless few factors distinguish statistically between applicants awarded versus denied benefits, and between those who appeal rejected applications versus those who do not.

Suggested Citation

  • Olivia S. Mitchell & John W.R. Phillips, 2002. "Applications, Denials, and Appeals for Social Security Disability Insurance," Working Papers wp032, University of Michigan, Michigan Retirement Research Center.
  • Handle: RePEc:mrr:papers:wp032
    as

    Download full text from publisher

    File URL: http://mrdrc.isr.umich.edu/publications/Papers/pdf/wp032.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Phillip B. Levine & Olivia S. Mitchell & John W. Phillips, "undated". "A Benefit of One's Own: Older Women's Retirement Entitlements Under Social Security," Pension Research Council Working Papers 99-21, Wharton School Pension Research Council, University of Pennsylvania.
    2. F. Thomas Juster & Richard Suzman, 1995. "An Overview of the Health and Retirement Study," Journal of Human Resources, University of Wisconsin Press, vol. 30, pages 7-56.
    3. 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.
    4. 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.
    5. 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.
    6. Haider, S. & Solon, G., 2000. "Nonrandom Selection in the HRS Social Security Earnings Sample," Papers 00-01, RAND - Labor and Population Program.
    7. Parsons, Donald O, 1980. "The Decline in Male Labor Force Participation," Journal of Political Economy, University of Chicago Press, vol. 88(1), pages 117-134, February.
    8. Kreider, Brent, 1999. "Social Security Disability Insurance: Applications, Awards, and Lifetime Income Flows," Journal of Labor Economics, University of Chicago Press, vol. 17(4), pages 784-827, October.
    9. Olivia S. Mitchell & John W.R. Phillips, 2001. "Eligibility for Social Security Disability Insurance," Working Papers wp011, University of Michigan, Michigan Retirement Research Center.
    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. Naoko Akashi-Ronquest & Paul Carrillo & Bruce Dembling & Steven Stern, 2011. "Measuring the biases in self-reported disability status: evidence from aggregate data," Applied Economics Letters, Taylor & Francis Journals, vol. 18(11), pages 1053-1060.

    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. Bound, John & Stinebrickner, Todd & Waidmann, Timothy, 2010. "Health, economic resources and the work decisions of older men," Journal of Econometrics, Elsevier, vol. 156(1), pages 106-129, May.
    3. Duggan, Mark & Singleton, Perry & Song, Jae, 2007. "Aching to retire? The rise in the full retirement age and its impact on the social security disability rolls," Journal of Public Economics, Elsevier, vol. 91(7-8), pages 1327-1350, August.
    4. Olivia S. Mitchell & John W.R. Phillips, 2001. "Eligibility for Social Security Disability Insurance," Working Papers wp011, University of Michigan, Michigan Retirement Research Center.
    5. Xiaoyan Li & Nicole Maestas, 2008. "Does the Rise in the Full Retirement Age Encourage Disability Benefits Applications? Evidence from the Health and Retirement Study," Working Papers wp198, University of Michigan, Michigan Retirement Research Center.
    6. 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.
    7. Nicholas, Lauren Hersch & Done, Nicolae & Baum, Micah, 2020. "Lifetime job demands and later life disability," The Journal of the Economics of Ageing, Elsevier, vol. 17(C).
    8. Naoko Akashi-Ronquest & Paul Carrillo & Bruce Dembling & Steven Stern, 2011. "Measuring the biases in self-reported disability status: evidence from aggregate data," Applied Economics Letters, Taylor & Francis Journals, vol. 18(11), pages 1053-1060.
    9. repec:eee:labchp:v:3:y:1999:i:pc:p:3417-3528 is not listed on IDEAS
    10. Mark Duggan & Perry Singleton & Jae Song, 2005. "Aching to Retire? The Rise in the Full Retirement Age and its Impact on the Disability Rolls," NBER Working Papers 11811, National Bureau of Economic Research, Inc.
    11. Schimmel Hyde Jody & Stapleton David C., 2017. "Using the Health and Retirement Study for Disability Policy Research: A Review," Forum for Health Economics & Policy, De Gruyter, vol. 20(2), pages 1-12, December.
    12. 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).
    13. 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.
    14. 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.
    15. Hamish Low & Luigi Pistaferri, 2010. "Disability risk, disability insurance and life cycle behavior," IFS Working Papers W10/11, Institute for Fiscal Studies.
    16. Burkhauser, Richard V. & Butler, J. S. & Gumus, Gulcin, 2003. "Dynamic Modeling of the SSDI Application Timing Decision: The Importance of Policy Variables," IZA Discussion Papers 942, Institute of Labor Economics (IZA).
    17. Hakola, Tuulia, 2002. "Alternative Approaches to Model Withdrawals from the Labour Market – A Literature Review," Working Paper Series 2003:4, Uppsala University, Department of Economics.
    18. Hamish Low & Luigi Pistaferri, 2020. "Disability Insurance: Theoretical Trade‐Offs and Empirical Evidence," Fiscal Studies, John Wiley & Sons, vol. 41(1), pages 129-164, March.
    19. Meijer, Erik & Karoly, Lynn A., 2017. "Representativeness of the low-income population in the Health and Retirement Study," The Journal of the Economics of Ageing, Elsevier, vol. 9(C), pages 90-99.
    20. 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.
    21. 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.

    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:mrr:papers:wp032. 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: MRRC Administrator (email available below). General contact details of provider: https://edirc.repec.org/data/isumius.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.