Title

Food Stamps and Food Insecurity What Can Be Learned in the Presence of Nonclassical Measurement Error?

Campus Units

Economics, Human Development and Family Studies

Document Type

Article

Publication Version

Submitted Manuscript

Publication Date

Spring 2008

Journal or Book Title

The Journal of Human Resources

Volume

43

Issue

2

First Page or Article ID Number

352

Last Page

382

DOI

10.3368/jhr.43.2.352

Abstract

Policymakers have been puzzled to observe that food stamp households appear more likely to be food insecure than observationally similar eligible nonparticipating households. We reexamine this issue allowing for nonclassical reporting errors in food stamp participation and food insecurity. Extending the literature on partially identified parameters, we introduce a nonparametric framework that makes transparent what can be known about conditional probabilities when a binary outcome and conditioning variable are both subject to nonclassical measurement error. We find that the food insecurity paradox hinges on assumptions about the data that are not supported by the previous food stamp participation literature.

Comments

This is a working paper of an article from Journal of Human Resources 43, no. 2 (2008): 352-382. doi: 10.3368/jhr.43.2.352. Posted with permission

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