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Estimating Interdependence Between Health and Education in a Dynamic Model

  • Li Gan
  • Guan Gong
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This paper investigates to what extent and through which channels that health and educational attainment are interdependent. A dynamic model of schooling, work, health expenditure, and savings is developed. The structural framework explicitly models two existing hypotheses on the correlation between health and education. The estimation results strongly support the interdependence between health and education. In particular, the estimated model indicates that an individual's education, health expenditure, and previous health status all affect his health status. Moreover, the individual's health status affects his mortality rate, wage, home production, and academic success. On average, having been sick before age 21 decreases the individual's education by 1.4 years. Policy experiments indicate that a health expenditure subsidy would have a larger impact on educational attainment than a tuition subsidy.

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File URL: http://www.nber.org/papers/w12830.pdf
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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 12830.

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Date of creation: Jan 2007
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Handle: RePEc:nbr:nberwo:12830
Note: AG CH HE LS
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  1. Currie, Janet & Madrian, Brigitte C., 1999. "Health, health insurance and the labor market," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 50, pages 3309-3416 Elsevier.
  2. Gourieroux, C. & Monfort, A. & Renault, E., 1992. "Indirect Inference," Papers 92.279, Toulouse - GREMAQ.
  3. Anthony A. Smith, Jr. & Michael Keane, 2004. "Generalized Indirect Inference for Discrete Choice Models," Econometric Society 2004 North American Winter Meetings 512, Econometric Society.
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  5. Cameron, Stephen V & Heckman, James J, 1993. "The Nonequivalence of High School Equivalents," Journal of Labor Economics, University of Chicago Press, vol. 11(1), pages 1-47, January.
  6. Grossman, Michael, 1972. "On the Concept of Health Capital and the Demand for Health," Journal of Political Economy, University of Chicago Press, vol. 80(2), pages 223-55, March-Apr.
  7. Michael P. Keane & Kenneth I. Wolpin, 1994. "The solution and estimation of discrete choice dynamic programming models by simulation and interpolation: Monte Carlo evidence," Staff Report 181, Federal Reserve Bank of Minneapolis.
  8. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-84, March.
  9. Derek A. Neal & William R. Johnson, 1995. "The Role of Pre-Market Factors in Black-White Wage Differences," NBER Working Papers 5124, National Bureau of Economic Research, Inc.
  10. Kenkel, D.S., 1988. "Health Behavior, Health Knowledge, And Schooling," Papers 10-88-3, Pennsylvania State - Department of Economics.
  11. Rosemary Hyson & Janet Currie, 1999. "Is the Impact of Health Shocks Cushioned by Socioeconomic Status? The Case of Low Birthweight," American Economic Review, American Economic Association, vol. 89(2), pages 245-250, May.
  12. Michael P. Keane & Kenneth I. Wolpin, 1995. "The career decisions of young men," Working Papers 559, Federal Reserve Bank of Minneapolis.
  13. Li Gan & Guan Gong & Michael Hurd & Daniel McFadden, 2004. "Subjective Mortality Risk and Bequests," NBER Working Papers 10789, National Bureau of Economic Research, Inc.
  14. Michael Grossman, 2003. "Household Production and Health," Review of Economics of the Household, Springer, vol. 1(4), pages 331-342, December.
  15. Li Gan & Guan Gong, 2004. "Mortality Risk and Educational Attainment of Black and White Men," NBER Working Papers 10381, National Bureau of Economic Research, Inc.
  16. Berkovec, James & Stern, Steven, 1991. "Job Exit Behavior of Older Men," Econometrica, Econometric Society, vol. 59(1), pages 189-210, January.
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