We estimate sibling correlations in health status using the Panel Study of Income Dynamics. We use Bayesian methods to estimate the covariance structure of a system of latent variable equations. Across a battery of outcomes, we estimate that between 50% and 60% of health status can be attributed...

We employ data from the Panel Study of Income Dynamics to investigate income to health causality. To account for unobserved heterogeneity, we focus on the relationship between earnings growth and changes in self-reported health status. Causal claims are predicated upon appropriate moment...

We investigate the impact of exogenous income shocks on health using twenty years of data from the Panel Study of Income Dynamic. To unravel the impact of income on health from unobserved heterogeneity and reverse causality, we employ techniques from the literature on the estimation of dynamic...

We investigate the impact of exogenous income fluctuations on health using twenty years of data from the Panel Study of Income Dynamics. To unravel the impact of income on health from unobserved heterogeneity and reverse causality, we employ techniques from the literature on the estimation of...

We investigate the impact of exogenous income shocks on health using twenty years of data from the Panel Study of Income Dynamics. To unravel the impact of income on health from unobserved heterogeneity and reverse causality, we employ techniques from the literature on the estimation of dynamic...

We use micro-data to investigate the relationship between unemployment and mortality in the United States using Logistic regression on a sample of over 16,000 individuals. We consider baselines from 1984 to 1993 and investigate mortality up to ten years from the baseline. We show that poor local...

In this paper, we use the death file from the Panel Study of Income Dynamics to investigate the relationship between county-level unemployment rates and mortality risk. After partialling out important confounding factors including baseline health status as well as state, industry and occupation...

In this paper, we investigate the impact of aggregate and idiosyncratic economic shocks on health using data on self-reported health status and mortality from the Panel Study of Income Dynamics. First, we document a large correlation between poor macroeconomic conditions and mortality for...

We consider the covariance structure of health. Agents report their health status on the basis of a latent health stock that is determined by permanent and transitory shocks, and time invariant fixed effects. At age 25, permanent shocks account for 5% to 10% of the variation in health. At age...

This paper investigates the evolution of health over the life-cycle using the Panel Study of Income Dynamics. We allow for two sources of persistence: unobserved heterogeneity and state dependence. The former is modeled by discrete “types.” Estimation indicates that there are at least four...