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Health Status and Labour Force Participation: Evidence from the HILDA Data

  • Lixin Cai

    ()

    (Melbourne Institute of Applied Economic and Social Research, The University of Melbourne)

  • Guyonne Kalb

    ()

    (Melbourne Institute of Applied Economic and Social Research, The University of Melbourne)

Although the overseas literature on the effect of health on labour force participation is extensive, especially in the US, the literature in an Australian context is scarce. This paper contributes to the understanding of this issue using the recently released Household, Income and Labour Dynamics in Australia (HILDA) Survey data. The potential endogeneity of the health variables, especially self-assessed health, in the labour force participation equation is addressed by estimating the health equation and the labour force participation equation simultaneously. We also take into account the correlation between the error terms in the two equations to obtain an efficient result. The null-hypothesis of exogeneity of health to labour force participation is tested based on a test of the joint significance of the labour force participation variable in the health equation and the correlation coefficient of the two error terms.

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Paper provided by Melbourne Institute of Applied Economic and Social Research, The University of Melbourne in its series Melbourne Institute Working Paper Series with number wp2004n04.

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Length: 43 pages
Date of creation: Mar 2004
Date of revision:
Handle: RePEc:iae:iaewps:wp2004n04
Contact details of provider: Postal: Melbourne Institute of Applied Economic and Social Research, The University of Melbourne, Victoria 3010 Australia
Phone: +61 3 8344 2100
Fax: +61 3 8344 2111
Web page: http://www.melbourneinstitute.com/
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  1. Campolieti, Michele, 2002. "Disability and the labor force participation of older men in Canada," Labour Economics, Elsevier, vol. 9(3), pages 405-432, July.
  2. Steven Stern, 1989. "Measuring the Effect of Disability on Labor Force Participation," Journal of Human Resources, University of Wisconsin Press, vol. 24(3), pages 361-395.
  3. Lee, Lung-Fei, 1982. "Health and Wage: A Simultaneous Equation Model with Multiple Discrete Indicators," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 23(1), pages 199-221, February.
  4. Mark Wooden & Simon Freidin & Nicole Watson, 2002. "The Household, Income and Labour Dynamics in Australia (HILDA)Survey: Wave 1," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 35(3), pages 339-348.
  5. John Bound, 1991. "Self-Reported Versus Objective Measures of Health in Retirement Models," Journal of Human Resources, University of Wisconsin Press, vol. 26(1), pages 106-138.
  6. Haveman, Robert & Wolfe, Barbara & Warlick, Jennifer, 1988. "Labor market behavior of older men : Estimates from a Trichotomous choice model," Journal of Public Economics, Elsevier, vol. 36(2), pages 153-175, July.
  7. Haveman, Robert & Wolfe, Barbara & Kreider, Brent & Stone, Mark, 1994. "Market Work, Wages, and Men's Health," Staff General Research Papers 10233, Iowa State University, Department of Economics.
  8. Paul Taubman & Sherwin Rosen, 1982. "Healthiness, Education, and Marital Status," NBER Chapters, in: Economic Aspects of Health, pages 121-140 National Bureau of Economic Research, Inc.
  9. Chirikos, Thomas N & Nestel, Gilbert, 1985. "Further Evidence on the Economic Effects of Poor Health," The Review of Economics and Statistics, MIT Press, vol. 67(1), pages 61-69, February.
  10. 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.
  11. Kenkel, D.S., 1989. "Should You Eat Breakfast? Estimates From Health Production Functions," Papers 9-90-8, Pennsylvania State - Department of Economics.
  12. Robin C. Sickles & Paul J. Taubman, 1984. "An Analysis of the Health and Retirement Status of the Elderly," NBER Working Papers 1459, National Bureau of Economic Research, Inc.
  13. Debra Sabatini Dwyer & Olivia S. Mitchell, 1998. "Health Problems as Determinants of Retirement: Are Self-Rated Measures Endogenous?," NBER Working Papers 6503, National Bureau of Economic Research, Inc.
  14. Janet Currie & Brigitte C. Madrian, 1998. "Health, Health Insurance and the Labor Market," JCPR Working Papers 27, Northwestern University/University of Chicago Joint Center for Poverty Research.
  15. Gloria J. Bazzoli, 1985. "The Early Retirement Decision: New Empirical Evidence on the Influence of Health," Journal of Human Resources, University of Wisconsin Press, vol. 20(2), pages 214-234.
  16. Megan Beckett & Marc N. Elliott, 2002. "Does the Association Between Marital Status and Health Vary by Sex, Race, and Ethnicity?," Working Papers 02-08, RAND Corporation Publications Department.
  17. John Bound & Michael Schoenbaum & Timothy Waidmann, 1995. "Race and Education Differences in Disability Status and Labor Force Attachment," NBER Working Papers 5159, National Bureau of Economic Research, Inc.
  18. Anderson, Kathryn H. & Burkhauser, Richard V., 1984. "The importance of the measure of health in empirical estimates of the labor supply of older men," Economics Letters, Elsevier, vol. 16(3-4), pages 375-380.
  19. Parsons, Donald O, 1982. "The Male Labour Force Participation Decision: Health, Reported Health, and Economic Incentives," Economica, London School of Economics and Political Science, vol. 49(193), pages 81-91, February.
  20. Richard Brazenor, 2002. "Disabilities and labour Market earnings in Australia," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 5(3), pages 319-334, September.
  21. Roger Wilkins, 2003. "Labour Market Outcomes and Welfare Dependence of Persons with Disabilities in Australia," Melbourne Institute Working Paper Series wp2003n02, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
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