We examine Becker's (1960) contention that children are normal. For the cross section of non-Hispanic white married couples in the U.S., we show that when we restrict comparisons to similarly-educated women living in similarly-expensive locations, completed fertility is positively correlated...

A standard object of empirical analysis in labor economics is a modified Mincer wage function in which an individual's log wage is a function of education, experience, and race. We analyze this approach in a context where individuals live and work in different locations (thus facing different...

Cognitive ability measures are often taken as explanatory variables in regression analysis, e.g., as a factor affecting a market outcome such as an individual's wage, or a decision such as an individual's education acquisition. Cognitive ability is a latent construct; its true value is...

In contrast to their relative standing in today's labor market, in 1960 U.S.-born men in all Asian groups earned substantially less than comparable whites. We explore explanations for the wage gap and find that all of the variables that might plausibly account for it, such as Asian/white...

This paper considers the use of statistical profiling to allocate persons to alternative options within government programs, or to participation or non-participation in programs. Profiling has been used in the United States to allocate unemployment insurance (UI) claimants to reemployment...

This paper addresses the selection of smoothing parameters for estimating the average treatment effect on the treated using matching methods. Because precise estimation of the expected counterfactual is particularly important in regions containing the mass of the treated units, we define and...

We provide simple tests for selection on unobserved variables in the Vytlacil-Imbens-Angrist framework for Local Average Treatment Effects. The tests allow researchers not only to test for selection on either or both of the treated and untreated outcomes, but also to assess the magnitude of the...

“Matching” is a statistical technique used to evaluate the effect of a treatment by comparing the treated and non-treated units in an observational study. Matching provides an alternative to older estimation methods, such as ordinary least squares (OLS), which involves strong assumptions...

We provide simple tests for selection on unobserved variables in the Vytlacil-Imbens-Angrist framework for Local Average Treatment Effects. The tests allow researchers not only to test for selection on either or both of the treated and untreated outcomes, but also to assess the magnitude of the...

In the context of growing worldwide inequality, it is important to know what happens when the demand for low-skilled workers changes. Because natural resource shocks are global in nature, but have highly localized impacts on labor prospects in resource extraction areas, they offer a unique...