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Disability and Employment: Reevaluating the Evidence in Light of Reporting Errors

by Brent Kreider and John V. Pepper

WP#2002-6  

Abstract

Long-standing debates about relationships between labor supply behavior and health status among persons nearing retirement age have centered largely on disagreements about the reliability of self-reported health indicators. In light of reporting errors in work capacity, this paper considers the problem of predicting how employment rates vary with disability status when "true" disability is unobserved. Rather than imposing the strong assumptions required to obtain point identification, we take a step back to evaluate what can be inferred under a variety of assumptions that are weaker but arguably more credible than those imposed in the existing literature. Although these assumptions do not identify the conditional employment rates except in special cases, nonparametric bounds for these parameters can be obtained. Using data from the Health and Retirement Study, we estimate a set of bounds that formalize the identifying power of a number of different assumptions that appear to have broad consensus in the literature. Our results suggest that models estimated under the assumption of fully accurate reporting lead to biased inferences. In particular, it appears that nonworkers tend to overreport disabilities.

For full paper in PDF 

Brent Kreider is an Associate Professor of Economics at Iowa State University. John V. Pepper is an Assistant Professor of Economics at the University of Virginia. The research reported herein was supported fully by the Center for Retirement Research at Boston College pursuant to a grant from the U.S. Social Security Administration funded as part of the Retirement Research Consortium. This grant was awarded through the CRR’s Steven H. Sandell Grant Program for Junior Scholars in Retirement Research. The opinions and conclusions are solely those of the author and should not be construed as representing the opinions or policy of the Social Security Administration or any agency of the Federal Government, or the Center for Retirement Research at Boston College. We gratefully acknowledge financial support from the 2001-2002 Sandell Grant Program and from the W.E. Upjohn Institute for Employment Research.
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