I am a student at The University of Chicago, with a background in Data Analytics and Economics.
My research interests lie at the intersection of Econometrics, Machine Learning, and Computational Social Science, with particular interests in text-as-data and empirical economic research.
💡 Note: I use this GitHub profile primarily to share and maintain replication code for my research and published papers, supporting research transparency and reproducibility.
- 🔭 I am currently working as a Research Assistant at UChicago, focusing on partial identification strategies and RDD replication.
- 📫 Email: wenlanx@uchicago.edu
- 🌐 Personal website: wenlanxie.com
International Journal of Finance and Economics, 2026
NLP · Machine Learning · Sentiment Analysis · Asset Pricing
Economics Letters, 2023
Corporate Finance · Difference-in-Differences · Stata
- Partial Identification — econometric methods for identification under incomplete information
- Regression Discontinuity Designs — replication and empirical implementation
- Text-as-Data — NLP and large-scale textual analysis for economic research
- Machine Learning for Economics — prediction and measurement using high-dimensional data
Research · Replication · Open Science