We use new PSID data on consumption and health, along with information on annual sick time, to estimate a structural labor supply model that incorporates a health capital stock with the traditional human capital learning-by-doing model. The estimates show strong evidence of learning by doing as well as strong persistence in health. However, the estimates reveal that time and money seem to have little effect on health consistent with 'flat of the curve' medicine. We find strong evidence that consumption and leisure are direct substitutes in preferences, and consumption and leisure are each utility complements with good health.

We present new estimates of earnings volatility over time and the life cycle for men and women by race and human capital, using Social Security earnings linked to the Current Population Survey. From the late 1970s to the mid-1990s, there is a strong negative trend in earnings volatility driven by a decline in transitory variance. From the mid-1990s, there is relative stability in trends of male earnings volatility due to an increase in the variance of permanent shocks. Cohort analyses indicate that earnings volatility is U-shaped, driven by large permanent shocks early and later in the life cycle.

Earnings nonresponse in household surveys is widespread, yet there is limited knowledge of how nonresponse biases earnings measures. We examine the consequences of nonresponse on earnings gaps and inequality using Current Population Survey individual records linked to administrative earnings data. The common assumption that earnings are missing at random is rejected. Nonresponse across the earnings distribution is U-shaped, highest in the left and right tails. Inequality measures differ between household and administrative data due in part to nonresponse. Nonresponse biases earnings differentials by race, gender, and education, particularly in the tails. Flexible copula-based models can account for nonrandom nonresponse.