Skip to main content
Log in

The joint effect of health shocks and eligibility for social security on labor supply

  • Original Paper
  • Published:
The European Journal of Health Economics Aims and scope Submit manuscript

Abstract

This paper investigates whether or not suffering a health shock, and becoming eligible for social security, have a joint effect on labor supply. Despite millions of people experiencing both of these events each year, no paper has focused exclusively on the joint effect that these events may have on work outcomes. This is surprising given that experiencing a health shock may impact on how a worker responds to becoming eligible for social security. With data from the Health and Retirement Study, I model weekly hours of work as a function of health shocks, social security eligibility, and their interaction. I find that this interaction leads to a 3–4 h reduction in weekly hours of work for men, but has no effect for women. The results are robust to using different work outcomes, age groups, health shock definitions, subgroups, as well as falsification and placebo tests. The results appear to be driven by men who would have had to return to work with impaired health. Policies that promote a more flexible work situation for older men may alleviate these problems in the future.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Notes

  1. More recently, a new strand of literature has emerged which focuses specifically on the effect of cancer on labor supply. Evidence from the U.S. [27,28,29,30,31,32,33,34,35], Europe [36,37,38,39,40], and elsewhere [41, 42], shows that cancer, like other health shocks, has generally been found to have a negative effect on labor supply.

  2. Coile and Levine [9] interact Social Security eligibility ages (62, 63, and 64) with unemployment insurance, rather than health shocks, but the idea is the same.

  3. In the HRS, the cancer variable is defined as cancer or a malignant tumor of any kind except skin cancer. The heart problem variable is defined as heart attack, coronary heart disease, angina, congestive heart failure, or other heart problems. Stroke is defined as stroke or transient ischemic attack. Lung disease is defined as chronic lung disease except asthma such as chronic bronchitis or emphysema.

  4. The HRS [52] is sponsored by the National Institute on Aging (grant number NIA U01AG009740) and is conducted by the University of Michigan.

  5. This transformation of wealth, W, is \(w = { \ln }\left( {W + \sqrt {W^2+ { 1}} } \right).\)

  6. Finkelstein [53] uses this method with regards to a tax change, rather the Social Security eligibility, but the principle is the same.

References

  1. Centers for Disease Control and Prevention.: Heart disease facts. http://www.cdc.gov/heartdisease/facts.htm (2017). Accessed 10 Dec 2018

  2. Centers for Disease Control and Prevention.: Stroke. http://www.cdc.gov/stroke/ (2018). Accessed 10 Dec 2018

  3. American Cancer Society.: Cancer facts and figures. https://www.cancer.org/content/dam/cancer-org/research/cancer-facts-and-statistics/annual-cancer-facts-and-figures/2018/cancer-facts-and-figures-2018.pdf (2018). Accessed 10 Dec 2018

  4. Social Security Administration.: Fast facts & figures about social security. https://www.ssa.gov/policy/docs/chartbooks/fast_facts/2018/fast_facts18.html (2018). Accessed 10 Dec 2018

  5. National Cancer Institute.: Relative survival rates by year of diagnosis, csr 1975–2015. https://seer.cancer.gov/csr/1975_2015/results_merged/topic_survival_by_year_dx.pdf (2015). Accessed 7 Apr 2019

  6. Mehnert, A.: Employment and work-related issues in cancer survivors. Crit. Rev. Oncol. Hematol. 77(2), 109–130 (2011)

    Article  PubMed  Google Scholar 

  7. Centers for Disease Control and Prevention.: Summary health statistics for u.s. adults: National health interview survey, 2012. https://www.cdc.gov/nchs/data/series/sr_10/sr10_260.pdf (2012). Accessed 10 Dec 2018

  8. Hullegie, P., Koning, P.: How disability insurance reforms change the consequences of health shocks on income and employment. J. Health Econ. 62, 134–146 (2018)

    Article  PubMed  Google Scholar 

  9. Coile, C.C., Levine, P.B.: Labor market shocks and retirement: do government programs matter? J. Public Econ. 91(10), 1902–1919 (2007)

    Article  Google Scholar 

  10. Bound, J., Schoenbaum, M., Stinebrickner, T.R., Waidmann, T.: The dynamic effects of health on the labor force transitions of older workers. Labour Econ. 6(2), 179–202 (1999). (ISSN 09275371)

    Article  Google Scholar 

  11. Coile, C.C.: Health shocks and couples’ labor supply decisions. National Bureau of Economic Research, working paper no. 10810 (2004)

  12. Gupta, N.D., Kleinjans, K.J., Larsen, M.: The effect of a severe health shock on work behavior: evidence from different health care regimes. Soc. Sci. Med. 136–137, 44–51 (2015)

    Article  Google Scholar 

  13. McClellan, M.: Health events, health insurance, and labor supply: evidence from the health and retirement survey. In: Wise, D.A. (ed.) Frontiers in the Economics of Aging, pp. 301–346. Chicago University Press, Chicago (1998)

    Google Scholar 

  14. Smith, J.P.: Consequences and predictors of new health events. In: Wise, D.A. (ed.) Analyses in the Economics of Aging, pp. 213–237. Chicago University Press, Chicago (2005)

    Chapter  Google Scholar 

  15. Wu, S.: The effects of health events on the economic status of married couples. J. Hum. Resour. 38(1), 219–230 (2003)

    Article  Google Scholar 

  16. Cai, L., Mavromaras, K., Oguzoglu, U.: The effects of health status and health shocks on hours worked. Health Econ. 23(5), 516–528 (2014)

    Article  PubMed  Google Scholar 

  17. Campolieti, M.: Disability and the labor force participation of older men in canada. Labour Econ. 9(3), 405–432 (2002). (ISSN 09275371)

    Article  Google Scholar 

  18. Riphahn, R.T.: Income and employment effects of health shocks: a test case for the german welfare state. J. Popul. Econ. 12(3), 363–389 (1999)

    Article  Google Scholar 

  19. Garcia-Gomez, P., van Kippersluis, H., O’Donnell, O., van Doorslaer, E.: Long-term and spillover effects of health shocks on employment and income. J. Hum. Resour. 48(4), 873–909 (2013)

    PubMed  PubMed Central  Google Scholar 

  20. Garcia-Gomez, P., Lopez-Nicolas, A.: Health shocks, employment and income in the Spanish labour market. Health Econ. 15(9), 997–1009 (2006)

    Article  PubMed  Google Scholar 

  21. Disney, R., Emmerson, C., Wakefield, M.: Ill health and retirement in Britain: a panel data-based analysis. J. Health Econ. 25(4), 621–649 (2006)

    Article  PubMed  Google Scholar 

  22. Garcia-Gomez, P., Jones, A.M., Rice, N.: Health effects on labour market exits and entries. Labour Econ. 17(1), 62–76 (2010)

    Article  Google Scholar 

  23. Jones, A.M., Rice, N., Zantomio, F.: Acute health shocks and labour market outcomes. Health, Econometrics, and Data Group, working paper 16/04 (2016)

  24. Lenhart, O.: The effects of health shocks on labor market outcomes: evidence from UK panel data. Eur. J. Health Econ. 20(1), 83–98 (2019)

    Article  PubMed  Google Scholar 

  25. Garcia-Gomez, P.: Institutions, health shocks and labour market outcomes across europe. J. Health Econ. 30(1), 200–213 (2011)

    Article  PubMed  Google Scholar 

  26. Trevisan, E., Zantomio, F.: The impact of acute health shocks on the labour supply of older workers: evidence from sixteen european countries. Labour Econ. 43, 171–185 (2016)

    Article  Google Scholar 

  27. Bradley, C.J., Neumark, D., Bednarek, H.L., Schenk, M.: Short-term effects of breast cancer on labor market attachment: results from a longitudinal study. J. Health Econ. 24(1), 137–160 (2005)

    Article  PubMed  Google Scholar 

  28. Bradley, C.J., Neumark, D., Luo, Z., Bednarek, H., Schenk, M.: Employment outcomes of men treated for prostate cancer. J. Natl Cancer Inst. 97(13), 958–965 (2005)

    Article  PubMed  Google Scholar 

  29. Bradley, C.J., Neumark, D., Luo, Z., Bednarek, H.L.: Employment-contingent health insurance, illness, and labor supply of women: evidence from married women with breast cancer. Health Econ. 16(7), 719–737 (2007)

    Article  PubMed  Google Scholar 

  30. Bradley, C.J., Neumark, D., Motika, M.: The effects of health shocks on employment and health insurance: the role of employer-provided health insurance. Int. J. Health Care Finance Econ. 12(4), 253–267 (2012)

    Article  PubMed  PubMed Central  Google Scholar 

  31. Bradley, C.J., Neumark, D., Barkowski, S.: Does employer-provided health insurance constrain labor supply adjustments to health shocks? New evidence on women diagnosed with breast cancer. J. Health Econ. 32(5), 833–849 (2013)

    Article  PubMed  PubMed Central  Google Scholar 

  32. Candon, D.: The effect of cancer on the labor supply of men over the age of 65. Econ. Hum. Biol. 31, 184–199 (2018)

    Article  PubMed  Google Scholar 

  33. Moran, J.R., Short, P.F., Hollenbeak, C.S.: Long-term employment effects of surviving cancer. J. Health Econ. 30(3), 505–514 (2011)

    Article  PubMed  PubMed Central  Google Scholar 

  34. Neumark, D., Bradley, C.J., Henry, M., Dahman, B.: Work continuation while treated for breast cancer. Ind. Labor Relat. Rev. 68(4), 916–954 (2015)

    Article  PubMed  PubMed Central  Google Scholar 

  35. Short, P.F., Vasey, J.J., Moran, J.R.: Long-term effects of cancer survivorship on the employment of older workers. Health Serv. Res. 43(1), 193–210 (2008)

    PubMed Central  Google Scholar 

  36. Candon, D.: The effects of cancer on older workers in the english labour market. Econ. Hum. Biol. 18, 74–84 (2015)

    Article  PubMed  Google Scholar 

  37. Heinesen, E., Kolodziejczyk, C.: Effects of breast and colorectal cancer on labour market outcomes–average effects and educational gradients. J. Health Econ. 32(6), 1028–1042 (2013)

    Article  PubMed  Google Scholar 

  38. Heinesen, E., Kolodziejczyk, C.: Labour market participation after breast cancer for employees from the private and public sectors: educational and sector gradients in the effect of cancer. Econ. Hum. Biol. 21, 33–55 (2016)

    Article  PubMed  Google Scholar 

  39. Taskila-Brandt, T., Martikainen, R., Virtanen, S.V., Pukkala, E., Hietanen, P., Lindbohm, M.-L.: The impact of education and occupation on the employment status of cancer survivors. Eur. J. Cancer 40(16), 2488–2493 (2004)

    Article  PubMed  Google Scholar 

  40. Torp, S., Nielsen, R.A., Gudbergsson, S.B., Fossa, S.D., Dahl, A.A.: Change in employment status of 5-year cancer survivors. Eur. J. Public Health 23(1), 116–122 (2013)

    Article  PubMed  Google Scholar 

  41. Jeon, S.-H.: The long-term effects of cancer on employment and earnings. Health Econ. 26(5), 671–684 (2017)

    Article  PubMed  Google Scholar 

  42. Lo, J.C.: Employment pathways of cancer survivors—analysis from administrative data. Eur. J. Health Econ. (2019). https://doi.org/10.1007/s10198-018-1025-8

    Article  PubMed  Google Scholar 

  43. Dano, A.M.: Road injuries and long-run effects on income and employment. Health Econ. 14(9), 955–970 (2005)

    Article  PubMed  Google Scholar 

  44. Halla, M., Zweimuller, M.: The effect of health on earnings: quasi-experimental evidence from commuting accidents. Labour Econ. 24, 23–38 (2013)

    Article  Google Scholar 

  45. Gustman, A.L., Steinmeier, T.L.: A structural retirement model. Econometrica 54(3), 555–584 (1986)

    Article  Google Scholar 

  46. Gustman, A.L., Steinmeier, T.L.: The social security early entitlement age in a structural model of retirement and wealth. J. Public Econ. 89(2–3), 441–463 (2005)

    Article  Google Scholar 

  47. Ferreira, P.C., dos Santos, M.R.: The effect of social security, health, demography and technology on retirement. Rev. Econ. Dyn. 16(2), 350–370 (2013)

    Article  Google Scholar 

  48. Blau, D.M.: Labor force dynamics of older men. Econometrica 62(1), 117–156 (1994)

    Article  CAS  PubMed  Google Scholar 

  49. Krueger, A.B., Pischke, J.S.: The effect of social security on labor supply: a cohort analysis of the notch generation. J. Labor Econ. 10(4), 412–437 (1992)

    Article  Google Scholar 

  50. Mastrobuoni, G.: Labor supply effects of the recent social security benefit cuts: empirical estimates using cohort discontinuities. J. Public Econ. 93(11–12), 1224–1233 (2009)

    Article  Google Scholar 

  51. Coile, C.C.: Economic determinants of workers’ retirement decisions. J. Econ. Surv. 29(4), 830–853 (2015)

    Article  Google Scholar 

  52. Health and Retirement Study.: RAND version N, public use dataset. Produced and distributed by the University of Michigan with funding from the National Institute on Aging (grant number NIA U01AG009740). Ann Arbor (2015)

  53. Finkelstein, A.: The effect of tax subsidies to employer-provided supplementary health insurance: evidence from canada. J. Public Econ. 84(3), 305–339 (2002)

    Article  Google Scholar 

  54. Schultz, A.B., Chen, C.-Y., Edington, D.W.: The cost and impact of health conditions on presenteeism to employers. Pharmacoeconomics 27(5), 365–378 (2009)

    Article  PubMed  Google Scholar 

  55. Skagen, K., Collins, A.M.: The consequences of sickness presenteeism on health and wellbeing over time: a systematic review. Soc. Sci. Med. 161, 169–177 (2016)

    Article  PubMed  Google Scholar 

  56. Pichler, S., Ziebarth, N.R.: The pros and cons of sick pay schemes: testing for contagious presenteeism and noncontagious absenteeism behavior. J. Public Econ. 156, 14–33 (2017)

    Article  Google Scholar 

  57. Jones, M.K., Latreille, P.L., Sloane, P.J.: Job anxiety, work- related psychological illness and workplace performance. Br. J. Ind. Relat. 54(4), 742–767 (2015). https://doi.org/10.1111/bjir.12159

    Article  Google Scholar 

Download references

Acknowledgements

I wish to thank Kevin Denny, Christopher Jepsen, Kanika Kapur, Maarten Lindeboom, David Madden, Andrea Weber, two anonymous referees, and seminar participants at the 31st annual European Society for Population Economics and 12th biennial International Health Economics Association conferences for helpful comments.

Funding

This research was funded by the Irish Research Council, who had no involvement in the conduct of the research.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to David Candon.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Data: The data used in this paper are from the Health and Retirement Study, a publicly available data set. The computer code used to generate the results is available on request.

Previous version: An earlier and less developed version of this manuscript circulated under the title “Are cancer survivors who are eligible for social security more likely to retire than healthy workers? Evidence from difference-in-differences”. It was not presented at any conferences or seminars. A copy can be made available on request.

Appendix

Appendix

See Tables 12, 13, and 14.

Table 12 Sample information
Table 13 Descriptive statistics (men)
Table 14 Descriptive statistics (women)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Candon, D. The joint effect of health shocks and eligibility for social security on labor supply. Eur J Health Econ 20, 969–988 (2019). https://doi.org/10.1007/s10198-019-01053-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10198-019-01053-2

Keywords

JEL classification

Navigation