Empirical Analysis of Joint Decisions on Labor Supply and Welfare Participation (An)
Economic and welfare program factors affect the well-being of low-income families and their labor supply decisions. This study uses data from the U.S. Survey of Income and Program Participation. A nested logit model is estimated to explain the joint decisions to participate in Temporary Assistance for Needy Families (TANF) and the labor market for the population of families potentially eligible for TANF. The empirical findings indicate that higher wages increase labor and decrease welfare program participation; an increase in nonlabor income decreases both labor market and welfare participation.
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|Date of creation:||04 May 2004|
|Date of revision:|
|Publication status:||Published in Applied Economics Letters, November 2004, vol. 11, pp. 869-872|
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- M. Keane & R. Moffitt, .
"A structural model of multiple welfare program participation and labor supply,"
Institute for Research on Poverty Discussion Papers
1080-96, University of Wisconsin Institute for Research on Poverty.
- 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 553-89, August.
- M. Keane & R. Mofitt, 1995. "A Structural Model of Multiple Welfare Program Participation and Labor Supply," Working Papers 95-4, Brown University, Department of Economics.
- Michael P. Keane & Robert Moffitt, 1995. "A structural model of multiple welfare program participation and labor supply," Working Papers 557, Federal Reserve Bank of Minneapolis.
- 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.
- Paul A. Hagstrom, 1996. "The Food Stamp Participation and Labor Supply of Married Couples: An Empirical Analysis of Joint Decisions," Journal of Human Resources, University of Wisconsin Press, vol. 31(2), pages 383-403.
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