In the United States, black workers earn less than their white counterparts and have higher rates of unemployment. Empirical work indicates that most of this wage gap is accounted for by differences in cognitive skills that emerge at an early age. In this paper, we demonstrate that the same is not true for black-white disparity in unemployment. A large unexplained unemployment differential motivates the paper's second contribution—a potential theoretical explanation. This explanation is built around a model that embeds statistical discrimination into the subjective worker evaluation process that lies at the root of the efficiency-wage theory of equilibrium unemployment.

We estimate wage gaps using nonparametric matching methods and detailed measures of field of study for university graduates. We find a modest portion of the wage gap is the consequence of measurement error in the Census education measure. For Hispanic and Asian men, the remaining gap is attributable to premarket factors—primarily differences in formal education and English language proficiency. For black men, only about one-quarter of the wage gap is explained by these same factors. For a subsample of black men born outside the South to parents with some college education, these factors do account for the entire wage gap.

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 with the husband's income. The empirical evidence is consistent with children being "normal." In an effort to show causal effects, we analyze the localized impact on fertility of the mid-1970s increase in world energy prices - an exogenous shock that substantially increased men's incomes in the Appalachian coal-mining region. Empirical evidence for that population indicates that fertility increases in men's income.