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 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 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...

This paper presents results from the fourth year of a multi-year, pre-committed research design for analyzing recent minimum wage changes. Using ACS and CPS data through 2018, we find that relatively large minimum wage increases reduced employment among low-skilled individuals by roughly 2.5...

This paper presents results from the third year of a multi-year, pre-committed research design for analyzing recent minimum wage changes. Using ACS and CPS data through 2017, we find that relatively large minimum wage increases reduced employment among low-skilled individuals by just over 2...

This paper presents results from the first year of a multi-year, pre-committed research design for analyzing recent state-level minimum wage changes. Through 2015 and 2016, we estimate that relatively large statutory minimum wage increases have reduced employment among low-skilled population...