Using a structural dynamic programming model, we investigate the relative importance of family background variables and individual specific abilities in explaining cross-sectional differences in schooling attainments and wages. Given scholastic ability, household background variables (especially...

Using a dynamic programming model of schooling decisions, we investigate the relationship between subjective discount rates and the labor market ability (the discount rate bias) on a panel taken from the National Longitudinal Survey of Youth (NLSY). Given household human capital and Armed Forces...

Previous studies on gender wage discrimination have relied on OLS when estimating the wage equations. However, there exists a number of recent studies, devoted to estimating the return to education, that have shown that OLS may produce biased estimates for a number of reasons. Consequently, if...

This paper analyzes differences in welfare utilization between immigrants and natives in Sweden using a large panel data set, LINDA, for the years 1990 to 1996. Both welfare expenditures and immigration increased in Sweden in the 1990?s. We find that immigrants use welfare to a greater extent...

Using a proportional hazard model with multiple exits, this paper analyzes whether immigrants' unemployment spells differ from natives', and if so, how the difference vary with time spent in Sweden and across immigrant cohorts. A unique data set taken from the Swedish unemployment registers is...

We estimate the relationship between wages and occupational gender segregation in Sweden. Because of high wage equality in Sweden compared to the U.S., we expect a lower wage penalty of job femaleness in Sweden than in the U.S. Our results supports this hypothesis. We also investigate how the...

We estimate a structural dynamic programming model of schooling decisions and obtain individual specific estimates of the local (and average) returns to schooling as well as the returns to experience. Homogeneity of the returns to human capital is strongly rejected in favor of a discrete...

We estimate a dynamic programming model of schooling decisions in which the degree of risk aversion can be inferred from schooling decisions. In our model, individuals are heterogeneous with respect to school and market abilities but homogeneous with respect to the degree of risk aversion. We...

We estimate a finite mixture dynamic programming model of schooling decisions in which the log wage regression function is set in a random coefficient framework. The model allows for absolute and comparative advantages in the labor market and assumes that the population is composed of 8 unknown...

We estimate a structural dynamic programming model of schooling decisions with unobserved heterogeneity in school ability and market ability on a sample taken from the National Longitudinal Survey of Youth (NLSY). Both the instantaneous utility of attending school and the wage regression...