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...

Labor force transitions are empirically examined using CPS data matched across months from 1996-2012 for Hispanics, African-Americans and whites. Transition probabilities are contrasted prior to the Great Recession and afterwards. Estimates indicate that minorities are more likely to be fired as...

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...

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...

Access to information may represent an important barrier to learning about and ultimately transferring to 4-year colleges for low-income community college students. This paper explores the role that access to information technology, in particular, plays in enhancing, or possibly detracting from,...

Labor force transitions are empirically examined using CPS data matched across months from 1996-2012 for Hispanics, African-Americans and whites. Transition probabilities are contrasted prior to the Great Recession and afterwards. Estimates indicate that minorities are more likely to be fired as...