We examine differences in the value of statistical life (VSL) across potential wage levels in panel data using quantile regressions with intercept heterogeneity. Latent heterogeneity is econometrically important and affects the estimated VSL. Our findings indicate that a reasonable average cost...

Our research addresses fundamental long-standing concerns in the compensating wage differentials literature and its public policy implications: the econometric properties of estimates of the value of statistical life (VSL) and the wide range of such estimates from about $0.5 million to about $21...

Our research clarifies the conceptual linkages among willingness to pay for additional safety, willingness to accept less safety, and the value of statistical life (VSL). We present econometric estimates that in the important case of workers' decisions concerning exposure to fatal injury risk...

We estimate the effect of welfare reform on the intergenerational transmission of welfare participation and related economic outcomes using a long panel of mother-daughter pairs over the survey period 1968–2013 in the Panel Study of Income Dynamics. Because states implemented welfare reform at...

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...

There is a large literature on earnings and income volatility in labor economics, household finance, and macroeconomics. One strand of that literature has studied whether individual earnings volatility has risen or fallen in the U.S. over the last several decades. There are strong disagreements...

Despite evidence that skilled labor is increasingly concentrated in cities, whether regional wage inequality is predominantly due to differences in skill levels or returns is unknown. We compare Appalachia, with its wide mix of urban and rural areas, to other parts of the U.S., and find that...