Skip to main content
Log in

The causal effect of early retirement on medication use across sex and occupation: evidence from Danish administrative data

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

Abstract

We examine the causal effect of early retirement on medication use using Danish registry data. A reform in early retirement schemes in 2006 gradually increased eligibility ages from 60 to 64 differentially across birth cohorts. This enables an instrumental variable design that was applied using novel g-estimation methods that alleviate bias in binary outcome IV models. Our data allow studying patterns in the short run (ages 59½–60½) and in the long run (ages 57–63). For those who were eligible already at age 60, retirement did not change overall medication use. However, when investigating medication and population subgroups, we see that painkiller use decreases and hypertension medication as well as mental health medication use increase after retirement in almost all population subgroups. Moreover, males as well as the blue-collar occupation subgroups do show decreases in overall medication use after early retirement. In conclusion, our analyses reveal that retirement can have important heterogeneous health effects across population groups and are potentially informative about the welfare benefits of social insurance more broadly.

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

Data availability

The Danish register data from this research was obtained through Statistics Denmark, the central authority on Danish statistics. Privacy rules do not allow us to share these individual level micro data openly. Individual researchers have the possibility to gain access to the relevant microdata through Statistics Denmarks’ research services and reconstruct the data used in this paper.

References

  1. Baker, M., Stabile, M., Deri, C.: What do self-reported, objective, measures of health measure? J. Hum. Resour. 39(4), 1067–1093 (2004)

    Article  Google Scholar 

  2. Barschkett, M., Geyer, J., Haan, P., Hammerschmid, A.: The effects of an increase in the retirement age on health—evidence from administrative data. J. Econ. Ageing 23(100403), 100403 (2022)

    Article  Google Scholar 

  3. Benjamin, D.J., Heffetz, O., Kimball, M.S., Szembrot, N.: Beyond happiness and satisfaction: toward well-being indices based on stated preference. Am. Econ. Rev. 104(9), 2698–2735 (2014)

    Article  PubMed  PubMed Central  Google Scholar 

  4. Brønnum-Hansen, H., Foverskov, E., Andersen, I.: Occupational inequality in health expectancy in Denmark. Scand. J. Public Health 48(3), 338–345 (2020)

    Article  PubMed  Google Scholar 

  5. Charlson, M.E., Pompei, P., Ales, K.L., MacKenzie, C.R.: A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. J. Chronic Dis. 40(5), 373–383 (1987)

    Article  CAS  PubMed  Google Scholar 

  6. Coe, N., Lindeboom, M.: Does retirement kill you? Evidence from early retirement windows. In: IZA Discussion Papers, No. 3817 (2008)

  7. Coe, N.B., Zamarro, G.: Retirement effects on health in Europe. J. Health Econ. 30(1), 77–86 (2011)

    Article  PubMed  Google Scholar 

  8. Dahlqwist, E., Zetterqvist, J., Pawitan, Y., Sjölander, A.: Model-based estimation of the attributable fraction for cross-sectional, case–control and cohort studies using the R package AF. Eur. J. Epidemiol. 31(6), 575–582 (2016)

    Article  PubMed  Google Scholar 

  9. Eibich, P.: Understanding the effect of retirement on health: mechanisms and heterogeneity. J. Health Econ. 43, 1–12 (2015)

    Article  PubMed  Google Scholar 

  10. Fitzpatrick, M.D., Moore, T.J.: The mortality effects of retirement: evidence from social security eligibility at age 62. J. Public Econ. 157, 121–137 (2018)

    Article  Google Scholar 

  11. Frimmel, W., Pruckner, G.J.: Retirement and healthcare utilization. J. Public Econ. 184, 104164 (2020)

    Article  Google Scholar 

  12. Gorry, A., Gorry, D., Slavov, S.N.: Does retirement improve health and life satisfaction? Health Econ. 27, 2067–2068 (2018)

    Article  PubMed  Google Scholar 

  13. Grøtting, M.W., Lillebø, O.S., et al.: Health effects of retirement: evidence from survey and register data. J. Popul. Econ. 33, 671–704 (2020)

    Article  Google Scholar 

  14. Gruber, J., Wise, D.A. (eds.): Social security and retirement around the world. NBER BookSeries—International Social Security. University of Chicago Press, Chicago (1999)

    Google Scholar 

  15. Han, S.H.: Health consequences of retirement due to non-health reasons or poor health. Soc Sci Med 273, 113767 (2021)

    Article  PubMed  PubMed Central  Google Scholar 

  16. Hernaes, E., Markussen, S., Piggott, J., Vestad, O.L.: Does retirement age impact mortality? J. Health Econ. 32(3), 586–598 (2013)

    Article  PubMed  Google Scholar 

  17. Kolodziej, I.W.K., García-Gómez, P.: Saved by retirement: beyond the mean effect on mental health. Soc Sci Med 225, 85–97 (2019)

    Article  PubMed  Google Scholar 

  18. Kuhn, A., Wuellrich, J.-P., Zweimüller, J.: Fatal attraction? Access to early retirement and mortality. SSRN Elect. J. 1–57 (2010)

  19. Kuusi, T., Martikainen, P., Valkonen, T.: The influence of old-age retirement on health: causal evidence from the Finnish register data. J. Econ. Ageing 17, 100257 (2020)

    Article  Google Scholar 

  20. Lindeboom, M., Andersen, H.L.: The impact of early retirement on health. Available at SSRN 1672025 (2010)

  21. Marmot, M., Ryff, C.D., Bumpass, L.L., Shipley, M., Marks, N.F.: Social inequalities in health: next questions and converging evidence. Soc Sci Med 44(6), 901–910 (1997)

    Article  CAS  PubMed  Google Scholar 

  22. Mazzonna, F., Peracchi, F.: Unhealthy retirement? J. Hum. Resour. 52(1), 128–151 (2017)

    Article  Google Scholar 

  23. Nielsen, N.F.: Sick of retirement? J. Health Econ. 65, 133–152 (2019)

    Article  PubMed  Google Scholar 

  24. Nishimura, Y., Oikawa, M., Motegi, H.: What explains the difference in the effect of retirement on health? Evidence from global aging data. J. Econ. Surveys 32(3), 792–847 (2018)

    Article  Google Scholar 

  25. Pedersen, J.P., Bingley, P., Datta Gupta, N., Jørgensen, M.: Disability programs, health and retirement in Denmark since 1960. In: Wise, D. (ed.) Social Security Programs and Retirement Around the World: Historical Trends in Mortality and Health, Employment, and Disability Insurance Participation and Reforms. University of Chicago Press, Chicago (2012)

    Google Scholar 

  26. Perdrix, E.: Does later retirement change your healthcare consumption? Evidence from France, HAL archives-ouvertes (2020)

  27. Qvist, J.Y.: Early retirement and social class: a health-giving choice for all? Eur. Soc. Rev. 39, 132–144 (2022)

    Article  Google Scholar 

  28. R Core Team: R: a language and environment for statistical computing. R Foundation for Statistical Computing (2020)

  29. Robins, J.M.: Correcting for non-compliance in randomized trials using structural nested mean models. Commun. Stat. Theory Methods 23(8), 2379–2412 (1994)

    Article  MathSciNet  Google Scholar 

  30. Shai, O.: Is retirement good for men’s health? Evidence using a change in the retirement age in Israel. J. Health Econ. 57, 15–30 (2018)

    Article  PubMed  Google Scholar 

  31. Sjölander, A., Torben Martinussen, T.: Instrumental variable estimation with the R package ivtools. Epidemiol. Methods 8(1), 20180024 (2019)

    Article  Google Scholar 

  32. Uanhoro, J.O., Wang, Y., O’Connell, A.A.: Problems with using odds ratios as effect sizes in binary logistic regression and alternative approaches. J. Exp. Edu. 89, 1–20 (2019). https://doi.org/10.1080/00220973.2019.1693328

    Article  Google Scholar 

  33. Whiteford, P., Whitehouse, E.: Pension challenges and pension reforms in OECD countries. Oxf. Rev. Econ. Policy 22(1), 78–94 (2006)

    Article  Google Scholar 

Download references

Acknowledgements

JC is supported for this work by a research grant from the Novo Nordisk Foundation (“Harnessing The Power of Big Data to Address the Societal Challenge of Aging.” NNF17OC0027812). THN is member of Center for Economic Behavior and Inequality (CEBI). The activities of CEBI are financed by the Danish National Research Foundation, Grant DNRF134. THN’s work was also supported by Novo Nordisk Foundation Grant NNF17OC0026542.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jolien Cremers.

Ethics declarations

Conflict of interest

The authors have no relevant financial or non-financial interests to disclose.

Additional information

Publisher's Note

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

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 122 KB)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Cremers, J., Nielsen, T.H. & Ekstrøm, C.T. The causal effect of early retirement on medication use across sex and occupation: evidence from Danish administrative data. Eur J Health Econ (2024). https://doi.org/10.1007/s10198-023-01660-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10198-023-01660-0

Keywords

JEL Classification

Navigation