StatsReporting / stargazer
Python implementation of the R stargazer multiple regression model creation tool
☆197Updated 3 months ago
Related projects ⓘ
Alternatives and complementary repositories for stargazer
- A Package To Make Publication Quality Latex Tables From Python Regression Output☆43Updated 6 months ago
- Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax☆176Updated this week
- Linear, IV and GMM Regressions With Any Number of Fixed Effects☆219Updated 10 months ago
- Econometrics and data manipulation functions.☆112Updated 3 years ago
- High dimensional fixed effect absorption with Python 3☆52Updated 9 months ago
- ☆81Updated 3 years ago
- Source code for the Library of Statistical Techniques☆267Updated 3 months ago
- Faster implementation of Stata's collapse, reshape, xtile, egen, isid, and more using C plugins☆182Updated last month
- Slides for the PhD level course in Econometrics at the Tinbergen Institute, Amsterdam☆214Updated 10 months ago
- Synthetic difference in differences☆269Updated 10 months ago
- ☆112Updated 3 years ago
- Articles/ Journals and Videos related to Economics and Data Science☆123Updated 2 years ago
- A Jupyter kernel for Stata. Works with Windows, macOS, and Linux.☆266Updated 7 months ago
- Event studies: robust and efficient estimation, testing, and plotting☆162Updated last year
- Robust inference in difference-in-differences and event study designs☆176Updated 4 months ago
- PhD Applied Econometrics class taught at UC Berkeley☆216Updated 11 months ago
- A PhD course in Applied Econometrics and Panel Data☆289Updated last month
- Python tools for regression discontinuity designs☆68Updated 5 years ago
- Fast sparse regressions with advanced formula syntax. OLS, GLM, Poisson, Maxlike, and more. High-dimensional fixed effects.☆60Updated last year
- ☆230Updated last year
- Difference in Differences with Multiple Periods, website: https://bcallaway11.github.io/did☆308Updated last week
- difference-in-differences in Python☆93Updated 10 months ago
- Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.☆74Updated last month
- Topics in Advanced Econometrics (ResEcon 703). University of Massachusetts Amherst. Taught by Matt Woerman☆216Updated last year
- course on data science for economists☆91Updated 3 weeks ago
- ☆271Updated 3 years ago
- Undergraduate textbook for Econometrics with R☆143Updated 4 years ago
- Data, Code and other material for CodeChella concert☆164Updated 3 years ago
- Materials for PhD course on text data in economics☆85Updated last year
- ☆104Updated 4 months ago