Knowledge that Transforms

This article examines employer demand for welfare recipients using new employer survey data. The results suggest that demand is high but sensitive to business cycle conditions. Factors including skill needs and industry affect prospective employer demand for recipients, while other characteristics that affect their relative supply to employers (e.g., establishment location) influence whether such demand is realized in actual hiring. The conditional demand for black and Hispanic welfare recipients lags behind their representation in the welfare population and seems affected by employers’ location and indicators of preferences. Thus, many demand‐side factors limit the employment options of welfare recipients, especially minorities.

Uncertainty in labor productivity (ULP) is affected by many factors, such as worker‐employer matching, technology, and macroeconomic conditions. Not surprisingly, ULP varies across firms, industries, and economies. How do variations in ULP affect specific human capital (SHC) investment, wage, and labor turnover? A fixed‐wage model is used to show that the answer depends critically on the initial level of ULP. The model is also used to show that wage and SHC are always positively correlated, but SHC investment and labor turnover do not have a monotonic relationship. These results have implications for empirical studies and public policies affecting ULP.

This article investigates the hypothesis that when measures of specific human capital (such as job tenure) are included in earnings functions, there may be a sample selection bias because of job‐matching effects—because workers with high unobserved match quality receive and accept high wage offers. We develop a model for wage offers in a labor market characterized by both specific human capital and job matching. The model provides a theoretical basis for empirical earnings functions containing specific capital, and it demonstrates that sample selection bias reduces the estimated return to specific human capital and tenure.

This article examines whether the Mortensen‐Pissarides matching model with productivity changes can explain the time pattern of wage inequality. The main finding is that the model produces counterfactual results. The main source of failure seems to be the exogenous matching function and/or the exogenous surplus share, neither of which allows firms to use wage policies to direct workers’ searches.

I study how education affects the allocation of talent into different sectors of the economy. I focus on two forces. First, education adds to a worker’s information capital and, thus, may change her self‐confidence. Second, performance contracts give a worker incentives to choose a sector according to her abilities. The baseline model predicts that workers with intermediate ability educate, while the most able skip education. In an extension, I compare the U.K. and the U.S. bachelor’s degrees and, moreover, discuss hybrid educational systems, common in Europe, that offer both U.K. and U.S. types of bachelor’s degrees.

This article calculates retirement income–replacement rates for all labor market cohorts across the last 25 years and describes the changing contributions made by private pensions, social security, and assets. The factors on which replacement rates are sensitive include position in the income distribution, the use of after‐tax instead of pretax incomes, the changing family composition of households between their pre‐ and postretirement years, and differential underreporting of income by age. The debate about reforming the U.S. retirement income system starts from a base where the current system offers high income‐replacement rates for most households, especially low‐income households.

Making use of performance data for baseball players, this article provides empirical evidence in support of Lazear’s (1998) theoretical predictions that (1) risky workers will earn a premium for their upside potential, (2) this risk premium will be higher the longer a worker’s work life, and (3) firms must enjoy some comparative advantage in the labor market to be willing to pay a premium to risky workers. The validity of Lazear’s predictions carries implications for wage differentials between young and old workers and between men and women.

We assemble a new matched employer-employee data set covering essentially all industries and occupations across all regions of the U.S. We use this data set to re-examine the question of the relative contributions to the overall sex gap in wages of sex segregation vs. wage differences by sex within occupation, industry, establishment, and occupation-establishment cells. This new data set is especially useful because earlier research on this topic relied on data sets that covered only a narrow range of industries, occupations, or regions. Our results indicate that a sizable fraction of the sex gap in wages is accounted for by the segregation of women into lower-paying occupations, industries, establishments, and occupations within establishments. Nonetheless, a substantial part of the sex gap in wages remains attributable to the individual's sex. This latter finding contrasts sharply with the conclusions of previous research (especially Further research into the sources of withinestablishment within-occupation sex wage differences is therefore much more important than previously thought.

Policies designed to protect female workers have controversial effects on labor market outcomes, both in theory and in practice. The analysis uses repeated cross‐sections of household survey data for Taiwan to estimate the impact of working‐hours restrictions and maternity benefits. Differential coverage across industrial sectors and demographic groups provides a unique opportunity to identify the impact of both policies in a single natural experiment framework. While working‐hours restrictions have a negative impact on women's actual hours worked and employment, maternity benefits increase these labor inputs, implying that women value the opportunity to return to jobs they might otherwise have to leave.