Using Health and Retirement Study data together with rich job characteristic data from O*NET, we will identify variables related to work context that characterize jobs based on levels of physiological and psychological stress. We will evaluate differences by race/ethnicity, explore…
Anu: “I ran a 5k in 37 minutes.” Prasad: “I ate nine muffins as a post-race snack.” Anu and Prasad may be talking about the same 5k race. Or not. It’s hard to tell because they don’t share the same…
Creating a public resource of historical occupational information from the O*NET database linked with survey data in the HRS will allow researchers to better inform policy makers about the impact of long-term exposure to different types of tasks or work…
Using data from the Health and Retirement Study (HRS) and the Occupational Requirements Survey (ORS), this project will examine the effects of physical and cognitive job demands, as well as educational requirements, on heterogeneous pathways from full-time work to retirement.…
We propose to develop a new method to assess individuals’ latent work capacity and relate it to: (1) their current employment status, and (2) their expectations about their probabilities of working at older ages. To do this, we will use…
Population aging and attendant pressures on public budgets have spurred considerable interest in understanding factors that influence retirement timing. A range of sociodemographic and economic characteristics have been shown to predict both earlier and later retirement. Less is known about…
