How large is the bias in self-reported disability?

Hugo Benitez-Silva, Moshe Buchinsky, Hiu Man Chan, Sofia Cheidvasser and John Rust ()
Additional contact information
Hiu Man Chan: Charles River Associates, Boston, USA, Postal: Charles River Associates, Boston, USA
Sofia Cheidvasser: Goldman Sachs, New York, USA, Postal: Goldman Sachs, New York, USA

Journal of Applied Econometrics, 2004, vol. 19, issue 6, 649-670

Abstract: A pervasive concern with the use of self-reported health measures in behavioural models is that individuals tend to exaggerate the severity of health problems in order to rationalize their decisions regarding labour force participation, application for disability benefits, etc. We re-examine this issue using a self-reported indicator of disability status from the Health and Retirement Study. We study a subsample of individuals who applied for disability benefits from the Social Security Administration (SSA), for whom we can also observe the SSA's decision. Using a battery of tests, we are unable to reject the hypothesis that self-reported disability is an unbiased indicator of the SSA's decision. Copyright © 2004 John Wiley & Sons, Ltd.

Date: 2004
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Related works:
Working Paper: How Large is the Bias in Self-Reported Disability? (2000)
Working Paper: How Large is the Bias is Self-Reported Disability? (2000)
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DOI: 10.1002/jae.797

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