IDEAS home Printed from https://ideas.repec.org/p/iae/iaewps/wp2005n09.html
   My bibliography  Save this paper

Health Status and Labour Force Status of Older Working-Age Australian Men

Author

Listed:
  • 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)

Abstract

The trend of declining labour force participation by older working-age men, combined with an ageing population, has led many industrialised nations to develop policies encouraging older male workers to remain in the labour force. A better understanding of how an individual’s health influences the labour force participation decision among this group of workers would facilitate the development of effective policies. The current research uses the Household, Income and Labour Dynamics in Australia (HILDA) survey to investigate the issue. The longitudinal nature of the three-wave HILDA data, which are currently available, allows for a better control for unobserved heterogeneity than was possible with earlier data. Therefore, more efficient estimates of the direct health effects on labour force participation can be obtained than in a cross-sectional analysis. Unobserved factors are likely to affect both health and labour force status, therefore we estimate a model that takes the correlation between the two error terms in the health and labour force status equations into account. The results show that controlling for unobserved heterogeneity and the correlation between the two equations is important. That is, the estimated variances of the unobserved heterogeneity terms are significantly different from zero in both equations and the two error terms are correlated. Any restriction on the correlation between the two equations appears to lead to underestimation of the direct health effects.

Suggested Citation

  • Lixin Cai & Guyonne Kalb, 2005. "Health Status and Labour Force Status of Older Working-Age Australian Men," Melbourne Institute Working Paper Series wp2005n09, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
  • Handle: RePEc:iae:iaewps:wp2005n09
    as

    Download full text from publisher

    File URL: http://melbourneinstitute.unimelb.edu.au/downloads/working_paper_series/wp2005n09.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Robert B. Barsky & Miles S. Kimball & F. Thomas Juster & Matthew D. Shapiro, 1995. "Preference Parameters and Behavioral Heterogeneity: An Experimental Approach in the Health and Retirement Survey," NBER Working Papers 5213, National Bureau of Economic Research, Inc.
    2. Donald S. Kenkel, 1995. "Should you eat breakfast? Estimates from health production functions," Health Economics, John Wiley & Sons, Ltd., vol. 4(1), pages 15-29, January.
    3. Keane, Michael P, 1994. "A Computationally Practical Simulation Estimator for Panel Data," Econometrica, Econometric Society, vol. 62(1), pages 95-116, January.
    4. Blau, David M. & Riphahn, Regina T., 1999. "Labor force transitions of older married couples in Germany," Labour Economics, Elsevier, vol. 6(2), pages 229-252, June.
    5. Hajivassiliou, Vassilis A. & Ruud, Paul A., 1986. "Classical estimation methods for LDV models using simulation," Handbook of Econometrics, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 40, pages 2383-2441, Elsevier.
    6. repec:bla:econom:v:49:y:1982:i:193:p:81-91 is not listed on IDEAS
    7. Borsch-Supan, Axel & Hajivassiliou, Vassilis A., 1993. "Smooth unbiased multivariate probability simulators for maximum likelihood estimation of limited dependent variable models," Journal of Econometrics, Elsevier, vol. 58(3), pages 347-368, August.
    8. repec:bla:ausecr:v:37:y:2004:i:4:p:359-382 is not listed on IDEAS
    9. repec:eee:labchp:v:3:y:1999:i:pc:p:3309-3416 is not listed on IDEAS
    10. Brent Kreider, 1999. "Latent Work Disability and Reporting Bias," Journal of Human Resources, University of Wisconsin Press, vol. 34(4), pages 734-769.
    11. Adam Wagstaff & Eddy Van Doorslaer, 1994. "Measuring inequalities in health in the presence of multiple‐category morbidity indicators," Health Economics, John Wiley & Sons, Ltd., vol. 3(4), pages 281-291, July.
    12. Sickles, Robin C & Taubman, Paul, 1986. "An Analysis of the Health and Retirement Status of the Elderly," Econometrica, Econometric Society, vol. 54(6), pages 1339-1356, November.
    13. Geweke, John, 1988. "Antithetic acceleration of Monte Carlo integration in Bayesian inference," Journal of Econometrics, Elsevier, vol. 38(1-2), pages 73-89.
    14. McCallum, J. & Shadbolt, B. & Wang, D., 1994. "Self-rated health and survival: A 7-year follow-up study of Australian elderly," American Journal of Public Health, American Public Health Association, vol. 84(7), pages 1100-1105.
    15. Vassilis A. Hajivassiliou, 1991. "Simulation Estimation Methods for Limited Dependent Variable Models," Cowles Foundation Discussion Papers 1007, Cowles Foundation for Research in Economics, Yale University.
    16. Disney, Richard & Emmerson, Carl & Wakefield, Matthew, 2006. "Ill health and retirement in Britain: A panel data-based analysis," Journal of Health Economics, Elsevier, vol. 25(4), pages 621-649, July.
    17. Doreen Wing Han Au & Thomas F. Crossley & Martin Schellhorn, 2005. "The effect of health changes and long‐term health on the work activity of older Canadians," Health Economics, John Wiley & Sons, Ltd., vol. 14(10), pages 999-1018, October.
    18. Guyonne Kalb & Lixin Cai, 2004. "Health status and labour force participation: evidence from HILDA data," Econometric Society 2004 Australasian Meetings 130, Econometric Society.
    19. 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.
    20. Mossey, J.M. & Shapiro, E., 1982. "Self-rated health: a predictor of mortality among the elderly," American Journal of Public Health, American Public Health Association, vol. 72(8), pages 800-808.
    21. Hugo Benítez-Silva & Moshe Buchinsky & Hiu Man Chan & Sofia Cheidvasser & John Rust, 2004. "How large is the bias in self-reported disability?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(6), pages 649-670.
    22. 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.
    23. Michael Grossman, 1999. "The Human Capital Model of the Demand for Health," NBER Working Papers 7078, National Bureau of Economic Research, Inc.
    24. McFadden, Daniel & Ruud, Paul A, 1994. "Estimation by Simulation," The Review of Economics and Statistics, MIT Press, vol. 76(4), pages 591-608, November.
    25. John Bound & Michael Schoenbaum & Timothy Waidmann, 1995. "Race and Education Differences in Disability Status and Labor Force Attachment in the Health and Retirement Survey," Journal of Human Resources, University of Wisconsin Press, vol. 30, pages 227-267.
    26. Coile Courtney, 2004. "Retirement Incentives and Couples' Retirement Decisions," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 4(1), pages 1-30, July.
    27. 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.
    28. Steven Stern, 1997. "Simulation-Based Estimation," Journal of Economic Literature, American Economic Association, vol. 35(4), pages 2006-2039, December.
    29. 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.
    30. Dean R. Hyslop, 1999. "State Dependence, Serial Correlation and Heterogeneity in Intertemporal Labor Force Participation of Married Women," Econometrica, Econometric Society, vol. 67(6), pages 1255-1294, November.
    31. 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, September.
    32. 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 223-255, March-Apr.
    33. Wilson, Chris M. & Oswald, Andrew J., 2005. "How Does Marriage Affect Physical and Psychological Health? A Survey of the Longitudinal Evidence," Economic Research Papers 269622, University of Warwick - Department of Economics.
    34. Dwyer, Debra Sabatini & Mitchell, Olivia S., 1999. "Health problems as determinants of retirement: Are self-rated measures endogenous?," Journal of Health Economics, Elsevier, vol. 18(2), pages 173-193, April.
    35. Lixin Cai & Guyonne Kalb, 2006. "Health status and labour force participation: evidence from Australia," Health Economics, John Wiley & Sons, Ltd., vol. 15(3), pages 241-261, March.
    36. 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.
    37. Gerdtham, U. -G. & Johannesson, M. & Lundberg, L. & Isacson, D., 1999. "A note on validating Wagstaff and van Doorslaer's health measure in the analysis of inequalities in health," Journal of Health Economics, Elsevier, vol. 18(1), pages 117-124, January.
    38. Keane, Michael, 1993. "Simulation estimation for panel data models with limited dependent variables," MPRA Paper 53029, University Library of Munich, Germany.
    39. 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.
    40. Janet Currie & Aaron S. Yelowitz, 1999. "Health Insurance and Less Skilled Workers," JCPR Working Papers 63, Northwestern University/University of Chicago Joint Center for Poverty Research.
    41. Robert B. Barsky & F. Thomas Juster & Miles S. Kimball & Matthew D. Shapiro, 1997. "Preference Parameters and Behavioral Heterogeneity: An Experimental Approach in the Health and Retirement Study," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 537-579.
    42. 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.
    43. Campolieti, Michele, 2002. "Disability and the labor force participation of older men in Canada," Labour Economics, Elsevier, vol. 9(3), pages 405-432, July.
    44. Mariano,Roberto & Schuermann,Til & Weeks,Melvyn J. (ed.), 2000. "Simulation-based Inference in Econometrics," Cambridge Books, Cambridge University Press, number 9780521591126, September.
    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


    Cited by:

    1. Diana Warren, 2008. "Retirement Expectations and Labour Force Transitions: The Experience of the Baby Boomer Generation," Melbourne Institute Working Paper Series wp2008n24, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    2. Diana Warren & Umut Oguzoglu, 2010. "Retirement in Australia: A Closer Look at the Financial Incentives," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 43(4), pages 357-375, December.
    3. Sung-Joo Yoon, 2019. "What Can We Obtain from Mental Health Care? The Dynamics of Physical and Mental Health," IJERPH, MDPI, vol. 16(17), pages 1-18, August.
    4. Cobb-Clark, Deborah A. & Stillman, Steven, 2006. "The Retirement Expectations of Middle-Aged Individuals," IZA Discussion Papers 2449, Institute of Labor Economics (IZA).
    5. Deborah A. Cobb‐Clark & Lihini De Silva, 2021. "Participation, Unemployment, and Wages," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 54(4), pages 482-493, December.
    6. Eric Delattre & Richard K. Moussa & Mareva Sabatier, 2019. "Health condition and job status interactions: econometric evidence of causality from a French longitudinal survey," Health Economics Review, Springer, vol. 9(1), pages 1-18, December.
    7. Bakhtin, Maxim & Aleksandrova, Ekaterina, 2018. "Health and labor force participation of elderly Russians," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 49, pages 5-29.
    8. Emma Gorman & Grant M Scobie & Andy Towers, 2012. "Health and Retirement of Older New Zealanders," Treasury Working Paper Series 12/02, New Zealand Treasury.
    9. Infrastructure Victoria, 2016. "Moving from Evaluation to Valuation: Improving project appraisals by monetising more social and environmental impacts," Policy papers 201602, Infrastructure Victoria.
    10. Cai, Lixin, 2010. "The relationship between health and labour force participation: Evidence from a panel data simultaneous equation model," Labour Economics, Elsevier, vol. 17(1), pages 77-90, January.
    11. Lixin Cai & Kostas Mavromaras & Umut Oguzoglu, 2014. "The Effects Of Health Status And Health Shocks On Hours Worked," Health Economics, John Wiley & Sons, Ltd., vol. 23(5), pages 516-528, May.
    12. Jeff Borland, 2011. "The Australian Labour Market in the 2000s: The Quiet Decade," RBA Annual Conference Volume (Discontinued), in: Hugo Gerard & Jonathan Kearns (ed.),The Australian Economy in the 2000s, Reserve Bank of Australia.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cai, Lixin, 2010. "The relationship between health and labour force participation: Evidence from a panel data simultaneous equation model," Labour Economics, Elsevier, vol. 17(1), pages 77-90, January.
    2. Lixin Cai & Guyonne Kalb, 2006. "Health status and labour force participation: evidence from Australia," Health Economics, John Wiley & Sons, Ltd., vol. 15(3), pages 241-261, March.
    3. 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.
    4. Gimenez-Nadal, J. Ignacio & Molina, Jose Alberto, 2015. "Health status and the allocation of time: Cross-country evidence from Europe," Economic Modelling, Elsevier, vol. 46(C), pages 188-203.
    5. Lixin Cai, 2009. "Effects of Health on Wages of Australian Men," The Economic Record, The Economic Society of Australia, vol. 85(270), pages 290-306, September.
    6. Manoj K Pandey, 2009. "Labor Force Participation among Indian Elderly: Does Health Matter?," Working Papers id:1987, eSocialSciences.
    7. Ebaidalla Mahjoub Ebaidalla & Mohammed Elhaj Mustafa Ali, 2018. "Chronic Illness and Labor Market Participation in Arab Countries: Evidence from Egypt and Tunisia," Working Papers 1229, Economic Research Forum, revised 10 Oct 2018.
    8. Pandey, Manoj K., 2009. "Labor force participation among Indian elderly: does health matter?," MPRA Paper 15394, University Library of Munich, Germany.
    9. Lixin Cai & Changxin Cong, 2009. "Effects Of Health And Chronic Diseases On Labour Force Participation Of Older Working‐Age Australians," Australian Economic Papers, Wiley Blackwell, vol. 48(2), pages 166-182, June.
    10. Zhang, Xiaohui & Zhao, Xueyan & Harris, Anthony, 2009. "Chronic diseases and labour force participation in Australia," Journal of Health Economics, Elsevier, vol. 28(1), pages 91-108, January.
    11. Deschryvere, Matthias, 2004. "Health and Retirement. An Update of the Literature," Discussion Papers 932, The Research Institute of the Finnish Economy.
    12. J. Ignacio Gimenez-Nadal & Jose Alberto Molina, 2016. "Health inequality and the uses of time for workers in Europe: policy implications," IZA Journal of European Labor Studies, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 5(1), pages 1-18, December.
    13. repec:eee:labchp:v:3:y:1999:i:pc:p:3309-3416 is not listed on IDEAS
    14. Owen O'Donnell & Eddy Van Doorslaer & Tom Van Ourti, 2013. "Health and Inequality," Tinbergen Institute Discussion Papers 13-170/V, Tinbergen Institute.
    15. Beni­tez-Silva, Hugo & Ni, Huan, 2008. "Health status and health dynamics in an empirical model of expected longevity," Journal of Health Economics, Elsevier, vol. 27(3), pages 564-584, May.
    16. Manoj K. Pandey, 2009. "Labor Force Participation among Indian Elderly: Does Health Matter?," ASARC Working Papers 2009-11, The Australian National University, Australia South Asia Research Centre.
    17. Kreider, Brent & Pepper, John V., 2007. "Disability and Employment: Reevaluating the Evidence in Light of Reporting Errors," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 432-441, June.
    18. Sarah Brown & Jennifer Roberts & Karl Taylor, 2010. "Reservation wages, labour market participation and health," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(3), pages 501-529, July.
    19. Sergi Jiménez-Martín & José M. Labeaga & Cristina Vilaplana Prieto, 2006. "Award errors and permanent disability benefits in Spain," Economics Working Papers 966, Department of Economics and Business, Universitat Pompeu Fabra.
    20. Iskhakov, Fedor, 2008. "Dynamic Programming Model of Health and Retirement," Memorandum 03/2008, Oslo University, Department of Economics.
    21. Bakhtin, Maxim & Aleksandrova, Ekaterina, 2018. "Health and labor force participation of elderly Russians," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 49, pages 5-29.

    More about this item

    JEL classification:

    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • J26 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Retirement; Retirement Policies

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iae:iaewps:wp2005n09. See general information about how to correct material in RePEc.

    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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sheri Carnegie (email available below). General contact details of provider: https://edirc.repec.org/data/mimelau.html .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.