HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS		QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

This Article Full Text (PDF) References Alert me when this article is cited Alert me if a correction is posted Citation Map Services Email this article to a friend Similar articles in this journal Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by Gundersen, C. Articles by Kreider, B. Search for Related Content

Food Stamps and Food Insecurity

What Can Be Learned in the Presence of Nonclassical Measurement Error?

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.

This article has been cited by other articles:

				B. Lavelle, M. D. Larsen, and C. Gundersen Strategies for Surveys of American Indians Public Opin Q, June 1, 2009; 73(2): 385 - 403. [Abstract] [Full Text] [PDF]

				C. Gundersen, S. Garasky, and B. J. Lohman Food Insecurity Is Not Associated with Childhood Obesity as Assessed Using Multiple Measures of Obesity J. Nutr., June 1, 2009; 139(6): 1173 - 1178. [Abstract] [Full Text] [PDF]