Implementing a state-of-the-art machine learning technique for causal identification from text data (C-TEXT), we document that patents authored by female inventors are under-cited relative to those authored by males. Relative to what the same patent would be predicted to receive had the lead...

Using data on articles published in the top-five economic journals in the period 1991 to 2010, we explore whether the gender composition of editorial boards is related to the publishing success of female authors and to the quality of articles that get published. Our results show that female...

This chapter reviews the data and literature on gender, race and ethnicity differences in research funding in the United States and Europe. The gender gap in research funding has closed at the National Science Foundation and National Institutes of Health in the United States and substantially...