Advanced Search
MyIDEAS: Login to save this article or follow this journal

Health status and labour force participation: evidence from Australia

Contents:

Author Info

  • Lixin Cai

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

  • Guyonne Kalb

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

Abstract

This paper examines the effect of health on labour force participation using the Household, Income and Labour Dynamics in Australia (HILDA) Survey. The potential endogeneity of health, especially self-assessed health, in the labour force participation equation is addressed by estimating the health equation and the labour force participation equation simultaneously. Taking into account the correlation between the error terms in the two equations, the estimation is conducted separately for males aged 15-49, males aged 50-64, females aged 15-49 and females aged 50-60. The results indicate that better health increases the probability of labour force participation for all four groups. However, the effect is larger for the older groups and for women. As for the feedback effect, it is found that labour force participation has a significant positive impact on older females' health, and a significant negative effect on younger males' health. For younger females and older males, the impact of labour force participation on health is not significant. The null-hypothesis of exogeneity of health to labour force participation is rejected for all groups. Copyright © 2005 John Wiley & Sons, Ltd.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://hdl.handle.net/10.1002/hec.1053
File Function: Link to full text; subscription required
Download Restriction: no

Bibliographic Info

Article provided by John Wiley & Sons, Ltd. in its journal Health Economics.

Volume (Year): 15 (2006)
Issue (Month): 3 ()
Pages: 241-261

as in new window
Handle: RePEc:wly:hlthec:v:15:y:2006:i:3:p:241-261

Contact details of provider:
Web page: http://www3.interscience.wiley.com/cgi-bin/jhome/5749

Related research

Keywords:

References

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
as in new window
  1. Kathryn H. Anderson & Richard V. Burkhauser, 1985. "The Retirement-Health Nexus: A New Measure of an Old Puzzle," Journal of Human Resources, University of Wisconsin Press, vol. 20(3), pages 315-330.
  2. 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.
  3. Brent Kreider, 1999. "Latent Work Disability and Reporting Bias," Journal of Human Resources, University of Wisconsin Press, vol. 34(4), pages 734-769.
  4. 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.
  5. Bound, John & Schoenbaum, Michael & Stinebrickner, Todd R. & Waidmann, Timothy, 1999. "The dynamic effects of health on the labor force transitions of older workers," Labour Economics, Elsevier, vol. 6(2), pages 179-202, June.
  6. 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.
  7. Debra S. Dwyer & Olivia S. Mitchell, . "Health Problems as Determinants of Retirement: Are Self-Rated Measures Endogenous?," Pension Research Council Working Papers 98-7, Wharton School Pension Research Council, University of Pennsylvania.
  8. Lixin Cai & Guyonne Kalb, 2004. "Health Status and Labour Force Participation: Evidence from the HILDA Data," Melbourne Institute Working Paper Series wp2004n04, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
  9. Guyonne Kalb & Lixin Cai, 2004. "Health status and labour force participation: evidence from HILDA data," Econometric Society 2004 Australasian Meetings 130, Econometric Society.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. John Bound & Michael Schoenbaum & Timothy Waidmann, 1996. "Race Differences in Labor Force Attachment and Disability Status," NBER Working Papers 5536, National Bureau of Economic Research, Inc.
  15. 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.
  16. 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.
  17. Barsky, Robert B, et al, 1997. "Preference Parameters and Behavioral Heterogeneity: An Experimental Approach in the Health and Retirement Study," The Quarterly Journal of Economics, MIT Press, vol. 112(2), pages 537-79, May.
  18. 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.
Full references (including those not matched with items on IDEAS)

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as in new window

Cited by:
This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:wly:hlthec:v:15:y:2006:i:3:p:241-261. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley-Blackwell Digital Licensing) or (Christopher F. Baum).

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.