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...

Implementing a state-of-the-art machine learning technique for causal identification of the effects of binary treatment from textual analysis, we document that women are under-cited relative to the quality of their patents. For the equivalent patent with a lead female inventor, a patent with a...