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

  • Craig Gundersen
  • Brent Kreider

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.

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File URL: http://jhr.uwpress.org/cgi/reprint/43/2/352
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Article provided by University of Wisconsin Press in its journal Journal of Human Resources.

Volume (Year): 43 (2008)
Issue (Month): 2 ()
Pages: 352-382

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Handle: RePEc:uwp:jhriss:v:43:y:2008:i:2:p:352-382
Contact details of provider: Web page: http://jhr.uwpress.org/

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  1. Martin H. David & Christopher R. Bollinger, 2005. "I didn't tell, and I won't tell: dynamic response error in the SIPP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 563-569.
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  3. Kreider, Brent & Pepper, John V., 2007. "Disability and Employment: Reevaluating the Evidence in Light of Reporting Errors," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 432-441, June.
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  9. Bollinger, Christopher R & David, Martin H, 2001. "Estimation with Response Error and Nonresponse: Food-Stamp Participation in the SIPP," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(2), pages 129-41, April.
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  12. Hamelin, Anne-Marie & Beaudry, Micheline & Habicht, Jean-Pierre, 2002. "Characterization of household food insecurity in Québec: food and feelings," Social Science & Medicine, Elsevier, vol. 54(1), pages 119-132, January.
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