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The Effects of Health and Health Shocks on Hours Worked

Author

Listed:
  • Cai, Lixin

    (NILS, Flinders University)

  • Mavromaras, Kostas

    (University of Adelaide)

  • Oguzoglu, Umut

    (University of Manitoba)

Abstract

We investigate the impact of health on working hours in recognition of the fact that leaving the labour market due to persistently low levels of health stock or due to new health shocks, is only one of the possibilities open to employees. We use the first six waves of the HILDA survey to estimate the joint effect of health status and health shocks on working hours using a dynamic random effects Tobit model of working hours to account for zero working hours. We follow Heckman (1981) and approximate the unknown initial conditions with a static equation that utilizes information from the first wave of the data. Predicted individual health stocks are used to ameliorate the possible effects of measurement error and endogeneity. We conclude that overall lower health status results in lower working hours and that health shocks lead to further reductions in working hours when they occur. Estimation results show that the model performs well in separating the time-persistent effect of health stock (health status) and the potentially more transient health shocks on working hours.

Suggested Citation

  • Cai, Lixin & Mavromaras, Kostas & Oguzoglu, Umut, 2008. "The Effects of Health and Health Shocks on Hours Worked," IZA Discussion Papers 3496, IZA Network @ LISER.
    • Handle: RePEc:iza:izadps:dp3496
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    References listed on IDEAS

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    Cited by:

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    3. Grossmann Volker & Strulik Holger, 2019. "Optimal Social Insurance and Health Inequality," German Economic Review, De Gruyter, vol. 20(4), pages 913-948, December.
    4. Mavromaras, Kostas & Polidano, Cain, 2011. "NILS Working paper no 165. Improving the employment rates of people with disabilities through vocational education," NILS Working Papers 26068, National Institute of Labour Studies.
    5. Fernández-Val, Iván & Savchenko, Yevgeniya & Vella, Francis, 2013. "Evaluating the Role of Individual Specific Heterogeneity in the Relationship Between Subjective Health Assessments and Income," IZA Discussion Papers 7651, IZA Network @ LISER.
    6. Fernández-Val, Iván & Savchenko, Yevgeniya & Vella, Francis, 2017. "Evaluating the role of income, state dependence and individual specific heterogeneity in the determination of subjective health assessments," Economics & Human Biology, Elsevier, vol. 25(C), pages 85-98.
    7. Manoj K. Pandey, 2013. "Elderly's Health Shocks and Household's Ex-ante Poverty in India," ASARC Working Papers 2013-01, The Australian National University, Australia South Asia Research Centre.
    8. Mavromaras, Kostas & Polidano, Cain, 2011. "Improving the Employment Rates of People with Disabilities through Vocational Education," IZA Discussion Papers 5548, IZA Network @ LISER.
    9. Jones, Melanie K & Mavromaras, Kostas & Sloane, Peter J & Wei, Zhang (NILS), 2011. "NILS Working paper no 176. Disability and job mismatches in the Australian labour market," NILS Working Papers 26074, National Institute of Labour Studies.
    10. Jones, Melanie K. & Mavromaras, Kostas & Sloane, Peter J. & Wei, Zhang, 2011. "Disability and Job Mismatches in the Australian Labour Market," IZA Discussion Papers 6152, IZA Network @ LISER.
    11. Paul Owusu Takyi & Roberto Leon-Gonzalez, 2022. "Effect of a health shock on working hours and health care usage: the role of financial inclusion in Ghana," International Journal of Economic Policy Studies, Springer, vol. 16(1), pages 113-134, February.
    12. Jones, M.A. & Rice, N. & Zantomio, F., 2016. "Acute health shocks and labour market outcomes," Health, Econometrics and Data Group (HEDG) Working Papers 16/04, HEDG, c/o Department of Economics, University of York.

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    Keywords

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    JEL classification:

    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • I10 - Health, Education, and Welfare - - Health - - - General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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