Advanced Search
MyIDEAS: Login to save this paper or follow this series

How Large is the BIas in Self-Reported Disability Status?

Contents:

Author Info

  • Hugo Benitez-Silva

    ()

  • Moshe Buchinsky
  • Hiu-Man Chan
  • Sofia Cheidvasser
  • John Rust

Abstract

A pervasive concern with the use of self-reported health and disability measures in behavioral models is that they are biased and endogenous. A commonly suggested explanation is that survey respondents exaggerate the severity of health problems and incidence of disabilities in order to rationalize labor force non-participation, application for disability benefits and/or receipt of those benefits. This paper re-examines this issue using a self-reported indicator of disability status from the Health and Retirement Survey. Using a bivariate probit model we test and are unable to reject the hypothesis that the self-reported disability measure is an exogenous explanatory variable in a model of individual's decision to apply for DI benefits or Social Security Administration's decision to award benefits. We further study a subsample of individuals who applied for Disability Insurance and Supplemental Security Income benefits from the Social Security Administration (SSA) for whom we can also observe SSA's award/deny decision. For this subsample we test and are unable to reject the hypothesis that self-reported disability is health and socio-economic characteristics similar to the information used by the SSA in making its award decisions. The unbiasedness restriction implies that these two variables have the same conditional probability distributions. Thus, our results indicate that disability applicant do not exaggerate their disability status at least in anonymous surveys such as the HRS. Indeed, our results are consistent with the hypothesis that disability applicants are aware of the criteria and decision rules that SSA uses in making awards and act as if they were applying these same criteria and rules when reporting their own disability status.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://www.sunysb.edu/economics/research/papers/1999/99-02.pdf
Our checks indicate that this address may not be valid because: 404 Not Found (http://www.sunysb.edu/economics/research/papers/1999/99-02.pdf [301 Moved Permanently]--> http://www.stonybrook.edu/economics/research/papers/1999/99-02.pdf). If this is indeed the case, please notify ()
Download Restriction: no

Bibliographic Info

Paper provided by Stony Brook University, Department of Economics in its series Department of Economics Working Papers with number 99-02.

as in new window
Length: 49
Date of creation: 1999
Date of revision:
Handle: RePEc:nys:sunysb:99-02

Contact details of provider:
Postal: Stony Brook, NY 11794-4384
Phone: (631)632-7540
Fax: (631)632-7516
Email:
Web page: http://www.stonybrook.edu/economics
More information through EDIRC

Related research

Keywords: Social Security; Disability; Health and Retirement Survey; Conditional Moment Tests;

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

No references listed on IDEAS
You can help add them by filling out this form.

Citations

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

Cited by:
  1. Hugo Benitez-Silva & Sofia Sheidvasser, 2000. "The Educated Russian's Curse: Returns to Education in the Russian Federation," Department of Economics Working Papers 00-05, Stony Brook University, Department of Economics.
  2. Teresa Bago d'Uva & Eddy van Doorslaer & Maarten Lindeboom & Owen O'Donnell & Somnath Chatterji, 2006. "Does Reporting Heterogeneity bias the Measurement of Health Disparities?," Tinbergen Institute Discussion Papers 06-033/3, Tinbergen Institute.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:nys:sunysb:99-02. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ().

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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