We analyze the association between spouses' incomes using a rank-rank specification that takes non-linearities along both spouses’ income distribution into account.
We find substantial and statistically significant detrimental effects of fathers' multiple-partner fertility (MPF) on children's educational outcomes.
We develop a model to predict consumer default based on deep learning. We show that the model consistently outperforms standard credit scoring models, even though it uses the same data.
We develop a unied empirical framework for child development which nests the key features of two previously parallel research programs, the Child Development literature and the Education Production Function literature.
We investigate the role of training in reducing the gender wage gap using the UK-BHPS which contains detailed records of training. Using policy changes over an 18 year period we identify the impact of training and work experience on wages, earnings and employment.
This paper studies the impact of changing trends in female labor supply on productivity, TFP growth and aggregate business cycles.
We use a unique data set of linked birth records from Florida to analyze the intergenerational transmission of health at birth by parental gender.
We construct and estimate a model of child development in which both the parents and children make investments in the child’s skill development.