Campus Units

Economics

Document Type

Article

Publication Version

Accepted Manuscript

Publication Date

4-2008

Journal or Book Title

Journal of Econometrics

Volume

23

Issue

3

First Page or Article ID Number

329

Last Page

349

DOI

10.1002/jae.979

Abstract

In light of widespread concerns about the reliability of self-reported disability, we investigate what can be learned about the prevalence of work disability under various assumptions on the reporting error process. Developing a nonparametric bounding framework, we provide tight inferences under our strongest assumptions but then find that identification deteriorates rapidly as the assumptions are relaxed. For example, we find that inferences are highly sensitive to how one models potential inconsistencies between subjective self-assessments of work limitation and more objective measures of functional limitation. These two indicators appear to measure markedly different aspects of health status.

JEL Classification

C14, I1

Comments

This is the peer reviewed version of the following article: Kreider, Brent, and John Pepper. "Inferring disability status from corrupt data." Journal of Applied Econometrics 23, no. 3 (2008): 329-349, which has been published in final form at doi: 10.1002/jae.979. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions.

Copyright Owner

John Wiley & Sons, Ltd.

Language

en

File Format

application/pdf

Published Version Working Paper

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