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Job Loss, Firm-Level Heterogeneity and Mortality: Evidence from Administrative Data

Author

Listed:
  • Hans Bloemen

    (VU University Amsterdam)

  • Stefan Hochguertel

    (VU University Amsterdam, the Netherlands)

  • Jochem Zweerink

    (Utrecht University, the Netherlands)

Abstract

This paper estimates the effect of job loss on mortality for older male workers with strong labor force attachment. Using Dutch administrative data, we find that job loss due to sudden firm closure increased the probability to die within five years by a sizable 0.60 percentage points. Importantly, this effect is estimated using a model that controls for firm-level worker characteristics, such as firm-level average mortality rates for mortality during the four years prior to the year of observation. On the mechanism driving the effect of job loss on mortality, we provide evidence for an effect running through stress and changes in life style.

Suggested Citation

  • Hans Bloemen & Stefan Hochguertel & Jochem Zweerink, 2015. "Job Loss, Firm-Level Heterogeneity and Mortality: Evidence from Administrative Data," Tinbergen Institute Discussion Papers 15-127/V, Tinbergen Institute.
    • Handle: RePEc:tin:wpaper:20150127
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    Cited by:

    1. Hans Bloemen & Stefan Hochguertel & Jochem Zweerink, 2017. "The causal effect of retirement on mortality: Evidence from targeted incentives to retire early," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 204-218, December.
    2. Dobis, Elizabeth A. & Stephens, Heather M. & Skidmore, Mark & Goetz, Stephan J., 2020. "Explaining the spatial variation in American life expectancy," Social Science & Medicine, Elsevier, vol. 246(C).
    3. Alexander Ahammer & Analisa Packham, 2020. "Dying to Work: Effects of Unemployment Insurance on Health," NBER Working Papers 27267, National Bureau of Economic Research, Inc.
    4. Pilar García‐Gómez & Anne C. Gielen, 2018. "Mortality effects of containing moral hazard: Evidence from disability insurance reform," Health Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 606-621, March.
    5. Xavier Pautrel, 2018. "Environmental Policy and Health in the Presence of Labor Market Imperfections," TEPP Working Paper 2018-09, TEPP.
    6. Guilherme Amorim & Diogo Britto & Alexandre Fonseca & Breno Sampaio, 2022. "Job Loss, Unemployment Insurance and Health: Evidence from Brazil," BAFFI CAREFIN Working Papers 22192, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    7. Been, Jim & Suari-Andreu, Eduard & Knoef, Marike, 2025. "The short-run effects of unexpected job loss on health," Other publications TiSEM 86c797c8-6f3d-46bd-b160-d, Tilburg University, School of Economics and Management.
    8. Vodopivec, Matija & Laporsek, Suzana & Stare, Janez & Vodopivec, Milan, 2021. "The Effects of Unemployment on Health, Hospitalizations, and Mortality - Evidence from Administrative Data," IZA Discussion Papers 14318, IZA Network @ LISER.
    9. Zellers, Stephanie & Azzi, Elissar & Latvala, Antti & Kaprio, Jaakko & Maczulskij, Terhi, 2025. "Causally-informative analyses of the effect of job displacement on all-cause and specific-cause mortality from the 1990s Finnish recession until 2020: A population registry study of private sector employees," Social Science & Medicine, Elsevier, vol. 370(C).
    10. Judite Gonçalves & Pedro S. Martins, 2021. "Effects of self-employment on hospitalizations: instrumental variables analysis of social security data," Small Business Economics, Springer, vol. 57(3), pages 1527-1543, October.
    11. Bergemann, Annette & Grönqvist, Erik & Guðbjörnsdóttir, Soffia, 2018. "Diabetes morbidity after displacement," Working Paper Series 2018:15, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    12. Martínez-Jiménez, Mario, 2023. "Parental nonemployment in childhood and children’s health later in life," Economics & Human Biology, Elsevier, vol. 49(C).
    13. Gonçalves, Judite & Martins, Pedro S., 2018. "The effect of self-employment on health: Instrumental variables analysis of longitudinal social security data," GLO Discussion Paper Series 245, Global Labor Organization (GLO).

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    Keywords

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    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • I10 - Health, Education, and Welfare - - Health - - - General
    • J63 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Turnover; Vacancies; Layoffs

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