The study also identified other gaps in the provision of education, and developed several options for addressing them."--BOOK JACKET.

Designed to give school district administrators and policymakers a basic understanding of those factors that affect the present and future teacher compensation.

Although a substantial and rising labor market premium is associated with college attendance in general, little is known about how this premium varies across institutions of different types and across time. In this paper the authors explicitly model high school students' choice of college type (characterized by selectivity and control) based on individual and family characteristics (including ability and parental economic status) and an estimate of the net costs of attendance. The authors estimate selectivity-corrected outcome equations using data from both the National Longitudinal Study of the High School Class of 1972 and High School and Beyond, which permit them to determine the effects of college quality on wages and earnings and how this effect varies across time. Even after controlling for selection effects, strong evidence emerges of a significant economic return to attending an elite private institution, and some evidence suggests this premium has increased over time. (Available from publisher or libraries holding the journal.)

This paper explores time use as a possible contributor to income inequality. Productive time is modeled as the complement to a model of sleep that incorporates the biological necessity of sleep within a dynamic choice framework. Our empirical application uses the quasi-exogenous variation in time constraints for high school students due to school being in session. We find that there are large differences in time use patterns across the income distribution. The results imply that time allocation for adolescents influenced by parents can be an important aspect of human capital acquisition and contribute to the intergenerational correlation in human capital.

All college students must decide where to attend college and what major to study. We estimate how earnings by college major differ at different college selectivity types. We find major-specific earnings vary markedly by college selectivity, with the strongest differences among business majors and the weakest differences among science majors. We also find that when comparing earnings of graduates from top colleges to middle or bottom ranked colleges, the distribution of students across majors can be as important as earnings differences by major in accounting for college selectivity earnings gaps.

The authors investigate the relationship between high school quality and the probability of extended unemployment among noncollege-bound men during three periods: the first two years, two to four years, and seven to nine years after high school. They find that larger high schools and schools with lower pupil-teacher ratios tend to decrease the probability of being unemployed for noncollege-bound men in the period shortly after high school graduation. However, no effect is found of high school quality on unemployment probabilities approximately a decade after high school completion.