The impact of health on wages: Evidence from the British Household Panel Survey (original) (raw)
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Gender differences in the effect of health on wages in Britain
The impact of income and earnings on health has been well-examined in the health economics literature while the impact of health on wages has been less studied. Even rarer in previous work is the possible difference between the influences of health on wages for men versus women. In this paper, I attempt to fill this apparent gap in the literature. I augment the well-established earnings function to include a number of health indicators and estimate equations for men and women using eleven waves of the British Household Panel Survey. I consider a range of estimation procedures, including pooled ordinary least squares, random and fixed effects, and Hausman-Taylor instrumental variables approaches. The impact of health is found to differ slightly by sex and is more strongly related to women's wages more than men's.
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Mechanisms Linking Employment Type and Health: Panel Data Analysis with Fixed-Effects Models
Health and Social Welfare Review, 2019
Using twelve waves of data from the Korean Welfare Panel Study (2006-2017), we evaluate mechanisms linking employment type to various health outcomes, including depression, self-esteem, and self-rated health with a focus on differences between standard and other types of employment. Guided by prior research, we examine several mechanisms such as economic insecurity and psychosocial stressors, using fixed-effects models that control for unobserved time-invariant individual heterogeneity. Our findings confirm the importance of selection in that much of the association between employment type and health observed in simple cross-sectional OLS models loses significance in fixed-effects models. We also find supporting evidence for the mediating role of economic insecurity and psychosocial stressors. For instance, the lower levels of satisfaction in job and life conditions help explain lower self-esteem of male nonstandard workers relative to standard workers. It is also interesting that the hypothesized mediators often suppress the relationship between employment status and health in which a significant relationship is revealed only when the specific mediator is taken into account. Findings of this study will shed valuable insights on the pathways in which specific employment types affect men's and women's health outcomes.