Estimation with Response Error and Nonresponse: Food-Stamp Participation in the SIPP
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.
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Volume (Year): 19 (2001)
Issue (Month): 2 (April)
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Institute for Research on Poverty Discussion Papers
1080-96, University of Wisconsin Institute for Research on Poverty.
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- Michael P. Keane & Robert A. Moffitt, 1995. "A structural model of multiple welfare program participation and labor supply," Working Papers 557, Federal Reserve Bank of Minneapolis.
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"Pseudo maximum likelihood methods : theory,"
CEPREMAP Working Papers (Couverture Orange)
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- 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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