The Estimation Of Food Stamp Self-Selection Models Using The Method Of Simulation
Much research sponsored by the Department of Agriculture's Food and Nutrition Service (FNS) has evaluated the effects of the Food Stamp Program (FSP) and other food and nutrition programs on outcomes of interest (e.g., dietary intake or food expenditures). Of course, the problem of "self-selection" frequently arises in evaluations of assistance programs in general and in analyses of food and nutrition programs in particular. This report addresses the phenomenon of self-selection in the context of multiple programs. For example, to study the effect of the FSP on the food expenditures of households headed by a single woman, one must also control for the effects of Aid to Families with Dependent Children (AFDC), since so many female heads receive both food stamps and AFDC. As we will show, recently developed techniques of "simulation estimation" make it feasible to deal with selection in the context of multiple programs.
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- Fraker, Thomas & Moffitt, Robert, 1988.
"The effect of food stamps on labor supply : A bivariate selection model,"
Journal of Public Economics,
Elsevier, vol. 35(1), pages 25-56, February.
- Thomas Fraker & Robert Moffitt, 1988. "The Effect of Food Stamps on Labor Supply: A Bivariate Selection Model," Mathematica Policy Research Reports efa52cc812a34ce2ac0427b91, Mathematica Policy Research.
- McFadden, Daniel, 1989. "A Method of Simulated Moments for Estimation of Discrete Response Models without Numerical Integration," Econometrica, Econometric Society, vol. 57(5), pages 995-1026, September.
- Daniel McFadden, 1987. "A Method of Simulated Moments for Estimation of Discrete Response Models Without Numerical Integration," Working papers 464, Massachusetts Institute of Technology (MIT), Department of Economics.
- Pakes, Ariel & Pollard, David, 1989. "Simulation and the Asymptotics of Optimization Estimators," Econometrica, Econometric Society, vol. 57(5), pages 1027-1057, September.
- Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
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