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In-Kind Transfers and Work Incentives

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  • Leonesio, Michael V

Abstract

Recent developments in rationing theory are used to examine the differences between the effects of in-kind and cash transfers on labor supply. It is not possible to tell a priori which type of transfer will cause the greater reduction in hours of work; the answer depends on the extent to which in-kind transfers distort consumption choices and on the relationship between the transferred commodities and leisure. Hicks-Allen complements can cause greater reductions in labor supply than equally generous cash transfers, while strong Hicks-Allen substitutes can induce increases in market work. Copyright 1988 by University of Chicago Press.

Suggested Citation

  • Leonesio, Michael V, 1988. "In-Kind Transfers and Work Incentives," Journal of Labor Economics, University of Chicago Press, vol. 6(4), pages 515-529, October.
  • Handle: RePEc:ucp:jlabec:v:6:y:1988:i:4:p:515-29
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    Cited by:

    1. Wu, Ximing & Perloff, Jeffrey M. & Golan, Amos, 2002. "Effects of Government Policies on Income Distribution and Welfare," Institute for Research on Labor and Employment, Working Paper Series qt6jx7h62v, Institute of Industrial Relations, UC Berkeley.
    2. Boyle, Melissa A. & Lahey, Joanna N., 2016. "Spousal labor market effects from government health insurance: Evidence from a veterans affairs expansion," Journal of Health Economics, Elsevier, vol. 45(C), pages 63-76.
    3. Moffitt, Robert A., 2002. "Welfare programs and labor supply," Handbook of Public Economics,in: A. J. Auerbach & M. Feldstein (ed.), Handbook of Public Economics, edition 1, volume 4, chapter 34, pages 2393-2430 Elsevier.
    4. Skoufias, Emmanuel & Gonzalez-Cossio, Teresa, 2008. "The Impacts of Cash and In-Kind Transfers on Consumption and Labor Supply: Experimental Evidence from Rural Mexico," Policy Research Working Paper Series 4778, The World Bank.
    5. Gary Painter, 1999. "Low-Income Housing Assistance: Its Impact on Labor Force and Housing Program Participation," Working Paper 8667, USC Lusk Center for Real Estate.

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