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...

We formulate an empirical model of promotion with dynamic self-selection where the current promotion probability depends on the hierarchical level in the firm, individual human capital, unobserved (to the econometrician) individual specific attributes, time varying firm specific variables (firm...

Using panel data taken from the NLSY, I perform the joint estimation of i) a reduced-form dynamic model of the transition from one grade level to the next with observed and unobserved heterogeneity, and ii) a flexible version of the celebrated Mincerian wage regression with skill heterogeneity,...

We estimate a Dynamic Programming model of the decision between continuing schooling or entering the labor market using a panel from the National Longitudinal Survey (NLSY). The model, set in an expected utility framework (with a power utility function), fits data on both schooling attainments...

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...

The relationship between unemployment benefit duration, unemployment duration and subsequent job duration is investigated using a multi-state duration model with state specific unobserved heterogeneity. I allow maximum benefit duration to be correlated with unemployment duration as well as...

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...