Are Patents with Female Inventors Under-Cited? Evidence from Text Estimation
Published: 27 April 2026| Version 2 | DOI: 10.17632/zz8g5nznhb.2
Contributors:
, , , Kunal SachdevaDescription
This repository contains the replication data and code for the paper "Are Patents with Female Inventors Under-Cited? Evidence from Text Estimation," The dataset provides the quantitative metrics used to evaluate the citation deficit of patents with female inventors, specifically including our text-based expected citation measures, actual patent citation counts, and inventor gender classifications.
Files
Steps to reproduce
1. Load JFE_FullReplication.R 2. Unzip Data 3. Set Path in R file 4. Run code
Institutions
- University of MichiganMichigan, Ann Arbor
- University of California, BerkeleyCalifornia, Berkeley
- Rice UniversityTexas, Houston
Categories
Innovation, Patent, Machine Learning