Health, Family Structure, and Labor Supply
I consider the health, family structure, and labor supply inter-relationships at both a theoretical and empirical level. The paper is organized in the following way. SectionI introduces the material. In Section II, a theoretical model of family time allocation among market, home, and health activities is developed. The concept of a family health maintenance function is formalized to generate qualitative predictions of the effect of wages, health status, health care efficiency, and property income on the labor supply of husband and wife. In Section III, data from the older male portion of the National Longitudinal Surveys are used to estimate labor supply functions for married and single men with special attention to differences in poor health responses. A simultaneous model of male labor supply and other family income (chiefly transfer income and the earnings of the wife) is then estimated to determine whether variations in the work hours of males, largely due to health differences, induce any substantial changes in income producing activities by other family members. Finally, in Section IV the detailed time budget data on both males and females from the Productive Americans Survey are used to estimate more precisely the effect of health on total family time allocations. These data provide estimates of the impact of poor health on home production time as well as market time for both husband and wife.
|Date of creation:||Apr 1976|
|Publication status:||published as American Economic Review, Vol. 67, no. 4 (1977): 703-712.|
|Contact details of provider:|| Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.|
Web page: http://www.nber.org
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- Benham, Lee, 1974. "Benefits of Women's Education within Marriage," Journal of Political Economy, University of Chicago Press, vol. 82(2), pages 57-71, Part II, .
- Michael Grossman, 1972. "The Demand for Health: A Theoretical and Empirical Investigation," NBER Books, National Bureau of Economic Research, Inc, number gros72-1.