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...

This paper utilizes the self-employed to analyze the observed increase in the educational earnings premium in the 1980?s. The paper compares the predictions of the signaling and human capital models in response to an exogenous demand shock such as a skill-biased technological change. Since 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...

In this paper we develop a simple model of the signaling value of the GED credential. The model illustrates necessary assumptions for a difference-in-difference estimator, which uses a change in the GED passing standard, to yield unbiased estimates of the signaling value of the GED for marginal...

We use data from the Texas Schools Microdata Panel (TSMP) to examine the extent to which dropouts use the GED as a route to post-secondary education. The paper develops a model pointing out the potential biases in estimating the effects of taking the GED path to postsecondary education. Lacking...