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...

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...

This paper explores the dynamics of wage growth in corporate hierarchies. Using panel data techniques, we estimate the causal effect of current and past transitions in reporting level and past earnings growth on components of current earnings and earnings growth using a large panel of US...

This article estimates a dynamic reduced-form model of intra-firm promotions using an employer-employee panel of over 300 of the largest corporations in the U.S. in the period from 1981 to 1988. The estimation conditions on unobserved individual heterogeneity and allows for both an endogenous...

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...