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Unemployment and Mortality: Evidence from the PSID

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  • Timothy J. Halliday

    (University of Hawai’a at Manoa and IZA)

Abstract

In this paper, we use the death file from the Panel Study of Income Dynamics to investigate the relationship between county-level unemployment rates and mortality risk. After partialling out important confounding factors including baseline health status as well as state, industry and occupation fixed effects, we show that poor local labor market conditions are associated with higher mortality risk for working-aged men. There is little to no such relationship for people with weaker labor force attachments such as women or the elderly. Our results contribute to a growing body of work that suggests that poor economic conditions pose health risks and illustrate an important contrast with studies based on aggregate data. The latter underscores the need to arrive at a better understanding of the aggregation mechanism linking the micro and macro studies.

Suggested Citation

  • Timothy J. Halliday, 2012. "Unemployment and Mortality: Evidence from the PSID," Working Papers 201214, University of Hawaii at Manoa, Department of Economics.
  • Handle: RePEc:hai:wpaper:201214
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    File URL: http://www.economics.hawaii.edu/research/workingpapers/WP_12-14.pdf
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    References listed on IDEAS

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    Cited by:

    1. Halliday, Timothy & Mazumder, Bhashkar & Wong, Ashley, 2021. "Intergenerational mobility in self-reported health status in the US," Journal of Public Economics, Elsevier, vol. 193(C).
    2. Janke, Katharina & Lee, Kevin & Propper, Carol & Shields, Kalvinder & Shields, Michael A., 2020. "Macroeconomic Conditions and Health in Britain: Aggregation, Dynamics and Local Area Heterogeneity," IZA Discussion Papers 13091, Institute of Labor Economics (IZA).
    3. Wang, Huixia & Wang, Chenggang & Halliday, Timothy J., 2018. "Health and health inequality during the great recession: Evidence from the PSID," Economics & Human Biology, Elsevier, vol. 29(C), pages 17-30.
    4. Sameem, Sediq & Sylwester, Kevin, 2017. "The business cycle and mortality: Urban versus rural counties," Social Science & Medicine, Elsevier, vol. 175(C), pages 28-35.
    5. Lucia Bosakova & Katarina Rosicova & Daniela Filakovska Bobakova & Martin Rosic & Dagmar Dzurova & Hynek Pikhart & Michala Lustigova & Paula Santana, 2019. "Mortality in the Visegrad countries from the perspective of socioeconomic inequalities," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 64(3), pages 365-376, April.
    6. Huixia Wang & Chenggang Wang & Timothy Halliday, 2016. "Money and Credit: Health and Health Inequality during the Great Recession: Evidence from the PSID," Working Papers 201615, University of Hawaii at Manoa, Department of Economics.
    7. Timothy J. Halliday, 2017. "Earnings Growth and Movements in Self‐Reported Health," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 63(4), pages 760-776, December.
    8. Sediq Sameem & Kevin Sylwester, 2016. "Unemployment and Homicides: Evidence from Individual Level U.S. Data," Economics Bulletin, AccessEcon, vol. 36(3), pages 1295-1305.
    9. Chenggang Wang & Huixia Wang & Timothy J. Halliday, 2017. "Health and Health Inequality during the Great Recession: Evidence from the PSID," Working Papers 201703, University of Hawaii at Manoa, Department of Economics.

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    More about this item

    Keywords

    Recessions; Mortality; Health; Aggregation;
    All these keywords.

    JEL classification:

    • I0 - Health, Education, and Welfare - - General
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • J1 - Labor and Demographic Economics - - Demographic Economics

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