aeturrell / coding-for-economistsLinks
This repository hosts the code behind the online book, Coding for Economists.
β872Updated 4 months 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.β632Updated 4 months ago
- πAn interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)β510Updated last month
- Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques oβ¦β461Updated last year
- A PhD course in Applied Econometrics and Panel Dataβ322Updated this week
- Econometrics cheat sheets with a concise review of the subject, going from the basics of an econometric model to the solution of the mostβ¦β153Updated 3 weeks ago
- Causal Inference 1 Mixtape Session taught by Scott Cunninghamβ305Updated last month
- β254Updated 11 months ago
- Slides for the PhD level course in Econometrics at the Tinbergen Institute, Amsterdamβ215Updated last year
- Python implementation of the R stargazer multiple regression model creation toolβ202Updated last year
- Data and Program files for Causal Inference: The Mixtapeβ440Updated 2 weeks ago
- This repository consolidates my teaching material for "Causal Machine Learning".β260Updated 3 weeks ago
- Source code for the Library of Statistical Techniquesβ278Updated 2 months ago
- Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntaxβ271Updated this week
- Codes for case studies for the Bekes-Kezdi Data Analysis textbookβ224Updated this week
- (Advanced) Applied Econometricsβ288Updated 6 months ago
- A set of notebooks the provide an introduction to Python.β105Updated 2 months ago
- PhD Applied Econometrics class taught at UC Berkeleyβ274Updated 10 months ago
- A curated list of causal inference libraries, resources, and applications.β1,069Updated 7 months ago
- A Python package containing 111 data sets of Introductory Econometrics: A Modern Approach (7th ed, J.M. Wooldridge)β59Updated last year
- β206Updated 4 months ago
- Keeping track of what is going on with the latest DiD innovations.β509Updated 3 months ago
- Data Analysis for Economicsβ136Updated last year
- This is the repository for the slides used in the Seattle University Econometrics courseβ157Updated 6 months ago
- Machine Learning and Causal Inference taught by Brigham Frandsenβ217Updated last month
- This is a coding course in Python to accompany the Data Analysis materialβ113Updated 3 years ago
- Topics in Advanced Econometrics (ResEcon 703). University of Massachusetts Amherst. Taught by Matt Woermanβ260Updated 2 years ago
- Course website for Ph.D. Applied Microeconometrics at the KDI School.β127Updated 11 months ago
- Articles/ Journals and Videos related to Economics and Data Scienceβ131Updated 3 years ago
- Causal Inference II Mixtape Session taught by Scott Cunninghamβ218Updated this week
- BLP Demand Estimation with Pythonβ269Updated 2 months ago