Using individual-level data from the Survey on Household Income and Wealth (SHIW), we estimate the extra-returns to wealth earned by highly educated individuals (education premium). Importantly, we quantify the fraction of the premium due to the financial investments decisions, such as stock...

We examine how a student’s major and the institution attended contribute to the labor market outcomes of young graduates. Administrative panel data that combine student transcripts with matched employer-employee records allow us to provide the first decomposition of premia into individual...

This paper shows that returns to education are not enough to capture all the returns to human capital. Using longitudinal data of all college graduates in Colombia, we estimate labor market returns to postsecondary degrees and to various skills— including literacy, numeracy, foreign language,...

Using university admission cutoffs that generate exogenous variation in college-major choices, we provide causal evidence that enrollment in a business or economics program leads individuals to invest significantly more in the stock market, earn higher portfolio returns, and ultimately...

This paper estimates economic returns to physical capital and inherent ability among Indonesian fishermen using a natural experiment. By exploiting the quasi-random variation in the length of fishing boats generated by an aid program among survivors of the 2004 Indian Ocean tsunami, it is found...

Returns to experience for U.S. workers have changed over the post-war period. This paper argues that a simple model goes a long way towards replicating these changes. The model features three well-known ingredients: (i) an aggregate production function with constant skill-biased technical change;...

Postgraduates’ relative earnings have been increasing despite large increases in their numbers. In this paper, we propose an innovative way to disentangle wage premiums within jobs shared by postgraduates and undergraduates from those associated with the assignment to different and more (less)...