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Estimation with response error and non-response : food stamp participation in SIPP

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  • Bollinger,C.R.
  • David,M.H.

    (University of Wisconsin-Madison, Social Systems Research Institute)

Abstract

Error in survey data originates from failure to contact the sample and from false answers to verifiable questions. These errors may be systematic and associated with uncooperative or unreliable respondents. Zabel modeled attrition in the Survey of Income and Program Participation and found systematic demographic and design effects. Bollinger and David modeled response error and identified correlations to income per capita. In this analysis, we link missing interviews in a panel and response error through a trivariate probit analysis. Robustness of the correlation between attrition and response error is examined by comparing variants of the model. The joint model of response error and attrition becomes the first stage of a pseudolikelihood estimate of a model of food-stamp participation. The model is significantly different from naive probit on the survey data.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Bollinger,C.R. & David,M.H., 1999. "Estimation with response error and non-response : food stamp participation in SIPP," Working papers 20, Wisconsin Madison - Social Systems.
  • Handle: RePEc:att:wimass:199920
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    File URL: http://www.ssc.wisc.edu/econ/archive/wp9920.pdf
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    1. Moffitt, Robert, 1992. "Incentive Effects of the U.S. Welfare System: A Review," Journal of Economic Literature, American Economic Association, vol. 30(1), pages 1-61, March.
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    3. Keane, Michael & Moffitt, Robert, 1998. "A Structural Model of Multiple Welfare Program Participation and Labor Supply," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(3), pages 553-589, August.
    4. 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.
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