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

Journal: The European journal of health economics : HEPAC : health economics in prevention and care

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Affiliated Institutions:  Data Science Lab, Statistics Denmark, Copenhagen, Denmark. joc@dst.dk. Department of Economics, Center for Economic Behavior and Inequality, University of Copenhagen, Copenhagen, Denmark. Section of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.

Abstract summary 

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.

Authors & Co-authors:  Cremers Nielsen Ekstrøm

Study Outcome 

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Statistics
Citations :  Baker, M., Stabile, M., Deri, C.: What do self-reported, objective, measures of health measure? J. Hum. Resour. 39(4), 1067–1093 (2004)
Authors :  3
Identifiers
Doi : 10.1007/s10198-023-01660-0
SSN : 1618-7601
Study Population
Males
Mesh Terms
Other Terms
Causal effect;Health;Instrumental variable;Medication;Retirement
Study Design
Study Approach
Country of Study
Publication Country
Germany