aeturrell / coding-for-economistsLinks
This repository hosts the code behind the online book, Coding for Economists.
☆834Updated 3 weeks ago
Alternatives and similar repositories for coding-for-economists
Users that are interested in coding-for-economists are comparing it to the libraries listed below
Sorting:
- Replication of tables and figures from "Mostly Harmless Econometrics" in Stata, R, Python and Julia.☆620Updated 2 weeks ago
- Econometrics cheat sheets with a concise review of the subject, going from the basics of an econometric model to the solution of the most…☆140Updated last month
- 📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)☆507Updated last year
- Causal Inference 1 Mixtape Session taught by Scott Cunningham☆286Updated 3 months ago
- A PhD course in Applied Econometrics and Panel Data☆311Updated 9 months ago
- Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques o…☆432Updated last year
- Data and Program files for Causal Inference: The Mixtape☆424Updated last week
- ☆252Updated 7 months ago
- Python implementation of the R stargazer multiple regression model creation tool☆202Updated 11 months ago
- Slides for the PhD level course in Econometrics at the Tinbergen Institute, Amsterdam☆214Updated last year
- Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax☆243Updated this week
- Source code for the Library of Statistical Techniques☆273Updated 2 months ago
- This repository consolidates my teaching material for "Causal Machine Learning".☆255Updated 8 months ago
- Codes for case studies for the Bekes-Kezdi Data Analysis textbook☆207Updated this week
- A curated list of causal inference libraries, resources, and applications.☆1,023Updated 3 months ago
- Keeping track of what is going on with the latest DiD innovations.☆483Updated 6 months ago
- A set of notebooks the provide an introduction to Python.☆101Updated last year
- (Advanced) Applied Econometrics☆279Updated 2 months ago
- This is a coding course in Python to accompany the Data Analysis material☆110Updated 2 years ago
- Machine Learning and Causal Inference taught by Brigham Frandsen☆208Updated 6 months ago
- A Python package containing 111 data sets of Introductory Econometrics: A Modern Approach (7th ed, J.M. Wooldridge)☆56Updated 8 months ago
- ☆198Updated this week
- PhD Applied Econometrics class taught at UC Berkeley☆264Updated 6 months ago
- Topics in Advanced Econometrics (ResEcon 703). University of Massachusetts Amherst. Taught by Matt Woerman☆245Updated 2 years ago
- Lecture notes for EC 607☆1,620Updated 2 years ago
- Python for Data Science. This repository hosts the code behind the online book that teaches you how to use Python for data science.☆142Updated 5 months ago
- Synthetic difference in differences☆284Updated last year
- Data Analysis for Economics☆131Updated last year
- Causal Inference II Mixtape Session taught by Scott Cunningham☆208Updated 3 weeks ago
- Articles/ Journals and Videos related to Economics and Data Science☆130Updated 3 years ago