We study whether student-advisor gender and race composition matters for publication productivity of Ph.D. students in South Africa. We consider all Ph.D. students in STEM graduating between 2000 and 2014, after the recent systematic introduction of doctoral programs in this country. We...

We use a large dataset of approximately 1500 physicists employed by the Centre National de la Recherche Scientifique (CNRS) in France to investigate the role of cumulative advantage in their publication career. Measuring output by time series of the number of publications and the number of...

We develop measures of labor-saving and labor-augmenting technology exposure using textual analysis of patents and job tasks. Using US administrative data, we show that both measures negatively predict earnings growth of individual incumbent workers. While labor-saving technologies predict...

Investment fund managers make asset allocation decisions on behalf of a significant segment of US households. To elucidate the incentives they operate under, as well as the income and career risks they face, we construct a unique and novel dataset, which encompasses detailed information on the...