aeturrell / coding-for-economistsLinks
This repository hosts the code behind the online book, Coding for Economists.
β881Updated 6 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.β640Updated 6 months ago
- πAn interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)β514Updated 3 months ago
- Econometrics cheat sheets with a concise review of the subject, going from the basics of an econometric model to the solution of the mostβ¦β155Updated 2 months ago
- Causal Inference 1 Mixtape Session taught by Scott Cunninghamβ314Updated 3 months ago
- Tutorials of econometrics featuring Python programming. This is a crash course for reviewing the most important concepts and techniques oβ¦β469Updated last year
- A PhD course in Applied Econometrics and Panel Dataβ326Updated last month
- Slides for the PhD level course in Econometrics at the Tinbergen Institute, Amsterdamβ216Updated 2 years ago
- Codes for case studies for the Bekes-Kezdi Data Analysis textbookβ229Updated last week
- Source code for the Library of Statistical Techniquesβ281Updated 2 weeks ago
- Data and Program files for Causal Inference: The Mixtapeβ447Updated 2 months ago
- β262Updated this week
- Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntaxβ285Updated this week
- (Advanced) Applied Econometricsβ293Updated 8 months ago
- This repository consolidates my teaching material for "Causal Machine Learning".β260Updated 2 months ago
- A Python package containing 111 data sets of Introductory Econometrics: A Modern Approach (7th ed, J.M. Wooldridge)β61Updated 2 months ago
- Python implementation of the R stargazer multiple regression model creation toolβ205Updated last year
- Keeping track of what is going on with the latest DiD innovations.β513Updated 5 months ago
- A set of notebooks the provide an introduction to Python.β106Updated 4 months ago
- PhD Applied Econometrics class taught at UC Berkeleyβ275Updated last year
- Data Analysis for Economicsβ135Updated last year
- β210Updated 2 months ago
- Articles/ Journals and Videos related to Economics and Data Scienceβ133Updated 3 years ago
- A curated list of causal inference libraries, resources, and applications.β1,085Updated 3 weeks ago
- This is a coding course in Python to accompany the Data Analysis materialβ115Updated 3 years ago
- The official R data package for "Introductory Econometrics: A Modern Approach". A vignette contains example models from each chapter.β223Updated last year
- Machine Learning and Causal Inference taught by Brigham Frandsenβ220Updated 3 months ago
- Topics in Advanced Econometrics (ResEcon 703). University of Massachusetts Amherst. Taught by Matt Woermanβ266Updated 3 years ago
- Econometrics Packages.β45Updated 6 months ago
- This is the repository for the slides used in the Seattle University Econometrics courseβ163Updated last week
- This 10-week training program is designed to prepare incoming pre-doctoral research fellows at the Princeton Empirical Studies of Conflicβ¦β130Updated 4 years ago