Although women in the United States now complete more college degrees than men, the distribution of college majors among college graduates remains unequal, with women about two‐thirds as likely as men to major in business or science. We develop and estimate a dynamic, overlapping generations model of human capital investments and labor supply. We allow for specific college major choices, instead of aggregating these choices to the education level. Results show that changes in skill prices, higher schooling costs, and gender‐specific changes in home value were each important to the long‐term trends.

We estimate a partial and general equilibrium search model in which firms and workers choose how much time to invest in both general and match-specific human capital. To help identify the model parameters, we use NLSY data on worker training and we match moments that relate the incidence and timing of observed training episodes to outcomes such as wage growth and job-to-job transitions. We use our model to offer a novel interpretation of standard Mincer wage regressions in terms of search frictions and returns to training. Finally, we show how a minimum wage can reduce training opportunities and decrease the amount of human capital in the economy.

We estimate a partial and general equilibrium search model in which firms and workers choose how much time to invest in both general and match-specific human capital. To help identify the model parameters, we use NLSY data on worker training and we match moments that relate the incidence and timing of observed training episodes to outcomes such as wage growth and job-to-job transitions. We use our model to offer a novel interpretation of standard Mincer wage regressions in terms of search frictions and returns to training. Finally, we show how a minimum wage can reduce training opportunities and decrease the amount of human capital in the economy.

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