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

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  • Gundersen, Craig
  • Kreider, Brent
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.

Suggested Citation

  • Gundersen, Craig & Kreider, Brent, 2008. "Food Stamps and Food Insecurity What Can Be Learned in the Presence of Nonclassical Measurement Error?," ISU General Staff Papers 200804010700001260, Iowa State University, Department of Economics.
    • Handle: RePEc:isu:genstf:200804010700001260
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    References listed on IDEAS

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    1. Christopher R. Bollinger & Martin H. David, 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, May.
    2. Aigner, Dennis J., 1973. "Regression with a binary independent variable subject to errors of observation," Journal of Econometrics, Elsevier, vol. 1(1), pages 49-59, March.
    3. Bound, John & Burkhauser, Richard V., 1999. "Economic analysis of transfer programs targeted on people with disabilities," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 51, pages 3417-3528, Elsevier.
    4. Mark C. Berger & Dan A. Black & Frank A. Scott, 1998. "How Well Do We Measure Employer‐Provided Health Insurance Coverage?," Contemporary Economic Policy, Western Economic Association International, vol. 16(3), pages 356-367, July.
    5. 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.
    6. Borjas, George J., 2004. "Food insecurity and public assistance," Journal of Public Economics, Elsevier, vol. 88(7-8), pages 1421-1443, July.
    7. Frazis, Harley & Loewenstein, Mark A., 2003. "Estimating linear regressions with mismeasured, possibly endogenous, binary explanatory variables," Journal of Econometrics, Elsevier, vol. 117(1), pages 151-178, November.
    8. 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.
    9. Craig Gundersen & Victor Oliveira, 2001. "The Food Stamp Program and Food Insufficiency," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(4), pages 875-887.
    10. Horowitz, Joel L & Manski, Charles F, 1995. "Identification and Robustness with Contaminated and Corrupted Data," Econometrica, Econometric Society, vol. 63(2), pages 281-302, March.
    11. Moffitt, Robert, 1983. "An Economic Model of Welfare Stigma," American Economic Review, American Economic Association, vol. 73(5), pages 1023-1035, December.
    12. Brent Kreider & John Pepper, 2008. "Inferring disability status from corrupt data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(3), pages 329-349.
    13. Barron, John M & Berger, Mark C & Black, Dan A, 1997. "Employer Search, Training, and Vacancy Duration," Economic Inquiry, Western Economic Association International, vol. 35(1), pages 167-192, January.
    14. Craig Gundersen & David Ribar, 2011. "Food Insecurity And Insufficiency At Low Levels Of Food Expenditures," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 57(4), pages 704-726, December.
    15. 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 129-141, April.
    16. Brent Kreider, 1999. "Latent Work Disability and Reporting Bias," Journal of Human Resources, University of Wisconsin Press, vol. 34(4), pages 734-769.
    17. Bollinger, Christopher R., 1996. "Bounding mean regressions when a binary regressor is mismeasured," Journal of Econometrics, Elsevier, vol. 73(2), pages 387-399, August.
    18. Brent Kreider & Steven C. Hill, 2009. "Partially Identifying Treatment Effects with an Application to Covering the Uninsured," Journal of Human Resources, University of Wisconsin Press, vol. 44(2).
    19. Hausman, J. A. & Abrevaya, Jason & Scott-Morton, F. M., 1998. "Misclassification of the dependent variable in a discrete-response setting," Journal of Econometrics, Elsevier, vol. 87(2), pages 239-269, September.
    20. John V. Pepper, 2000. "The Intergenerational Transmission Of Welfare Receipt: A Nonparametric Bounds Analysis," The Review of Economics and Statistics, MIT Press, vol. 82(3), pages 472-488, August.
    21. Bhattacharya, Jayanta & Currie, Janet & Haider, Steven, 2004. "Poverty, food insecurity, and nutritional outcomes in children and adults," Journal of Health Economics, Elsevier, vol. 23(4), pages 839-862, July.
    22. Craig Gundersen & Susan Offutt, 2005. "Farm Poverty and Safety Nets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(4), pages 885-899.
    23. Molinari, Francesca, 2008. "Partial identification of probability distributions with misclassified data," Journal of Econometrics, Elsevier, vol. 144(1), pages 81-117, May.
    24. AIGNER, Dennis J., 1973. "Regression with a binary independent variable subject to errors of observation," LIDAM Reprints CORE 130, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    25. Black, Dan & Sanders, Seth & Taylor, Lowell, 2003. "Measurement of Higher Education in the Census and Current Population Survey," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 545-554, January.
    26. Ribar, David C. & Hamrick, Karen S., 2003. "Dynamics Of Poverty And Food Sufficiency," Food Assistance and Nutrition Research Reports 33851, United States Department of Agriculture, Economic Research Service.
    27. Gundersen, Craig & Weinreb, Linda & Wehler, Cheryl & Hosmer, David, 2003. "Homelessness and food insecurity," Journal of Housing Economics, Elsevier, vol. 12(3), pages 250-272, September.
    28. Marianne Bitler & Craig Gundersen & Grace S. Marquis, 2005. "Are WIC Nonrecipients at Less Nutritional Risk Than Recipients? An Application of the Food Security Measure ," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 27(3), pages 433-438.
    29. Donna K. Ginther, 2000. "Alternative Estimates of the Effect of Schooling on Earnings," The Review of Economics and Statistics, MIT Press, vol. 82(1), pages 103-116, February.
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