Author
Listed:
- Amal Harrati
- David Rehkopf
Abstract
In this paper, we characterized health trajectories over an 18-year period for a cohort of American workers. We used administrative data to track monthly, health-related events for six chronic diseases (asthma, arthritis, diabetes, depression, ischemic heart disease, and hypertension) including the diagnoses of new disease, hospitalizations, and outpatient visits. Using these data, we first used sequence and cluster analysis to characterize long-term trajectories of health and to group workers according to their patterns of work experience. We then modeled the relationship of these health trajectories to retirement age, accounting for baseline underlying health, as well as a number of demographic and job-related characteristics. Finally, we consider the role of physical and psychosocial job demand in retirement age. Our analysis produces a number of findings that should be of interest to those studying retirement policy. In our data, workers can be categorized into a small number of distinct work trajectories. While the majority of workers in this sample remain relatively healthy for much of the observation window, others exhibit patterns of health-related events that are often marked by hypertension and/or arthritis. We find that clusters characterized with health events related to hypertension and arthritis are likely to retire later, not earlier. We offer a possible interpretation that these numerous health-related events are signaling the proper management of these chronic diseases, allowing workers to extend their working life. Moreover, we find an association with job demands and retirement, even after controlling for health. Specifically, we find that increases in exposure to heat are associated with lower retirement age, as is less decision-making autonomy. The limitations of this paper include the lack of a representative sample, a relatively small sample size, and the strong incentives of retirement pensions in this cohort that may overwhelm other factors related to retirement decisions.
Suggested Citation
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:crr:crrwps:wp2020-1. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Amy Grzybowski or Christopher F Baum (email available below). General contact details of provider: https://edirc.repec.org/data/crrbcus.html .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.