Sarah Burgard photo

Toward a Better Estimation of the Effect of Job Loss on Health

Publication Abstract

Burgard, Sarah, Jennie Brand, and James S. House. 2007. "Toward a Better Estimation of the Effect of Job Loss on Health." Journal of Health and Social Behavior, 48(4): 369-384.

Previous research has shown that involuntary job loss may have negative health consequences, but existing analyses have not adequately adjusted for health selection or other confounding factors that could reveal the association to be spurious. Using two large, population-based longitudinal samples of U. S. workers from the Americans' Changing Lives Study and the Wisconsin Longitudinal Study, this analysis goes further by using respondents' self-reports of the reasons for job loss and information about the timing of job losses and acute negative health shocks to distinguish health-related job losses from other involuntary job losses. Results suggest that even after adjustment for numerous social background characteristics and baseline health, involuntary job loss is associated with significantly poorer overall self-rated health and more depressive symptoms. More nuanced analyses reveal that among involuntary job losers, those who lose their jobs for health-related reasons have, not surprisingly, the most precipitous declines in health. Job losses for other reasons have substantive and statistically significant effects on depressive symptoms, while effects on self-rated poor health are relatively small.

10.1177/002214650704800403

Licensed Access Link

Browse | Search | Next

PSC In The News

RSS Feed icon

Erin Cech explains her research on the "passion principle," and how America's obsession with pursuing and pushing towards a "#dreamjob" is flawed

Shaefer notes success of initial CARES Act stimulus and concerns over a new round of COVID-19 shutdown support under a Biden presidency

More News

Highlights

Faul's three-nation research to examine relationships between social factors and epigenetics

Open for Registration: Principles of Text Analysis Workshop

More Highlights


Connect with PSC follow PSC on Twitter Like PSC on Facebook