despiegj / GOZ39A
Course Notes and Code - Course GOZ39A
☆21Updated 2 years ago
Alternatives and similar repositories for GOZ39A:
Users that are interested in GOZ39A are comparing it to the libraries listed below
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆92Updated this week
- ☆122Updated last week
- This repository consolidates my teaching material for "Causal Machine Learning".☆247Updated 5 months ago
- Codes for case studies for the Bekes-Kezdi Data Analysis textbook☆195Updated 3 weeks ago
- Causal Inference 1 Mixtape Session taught by Scott Cunningham☆277Updated last week
- This is the repository for the slides used in the Seattle University Econometrics course☆149Updated last year
- Replication code and downloadable example data sets for The Effect☆196Updated 3 years ago
- Slides for the PhD level course in Econometrics at the Tinbergen Institute, Amsterdam☆213Updated last year
- Introduction to Data Science☆19Updated 2 years ago
- Code and examples from Business Data Science☆164Updated 4 years ago
- Streamline a data analysis process☆73Updated last week
- Synthetic difference in differences for Python☆76Updated last year
- Coding course to complete Data Analysis in R☆122Updated 5 months ago
- Causal Inference II Mixtape Session taught by Scott Cunningham☆201Updated this week
- Packages of Example Data for The Effect☆138Updated 5 months ago
- Synthetic difference in differences☆280Updated last year
- Machine Learning and Causal Inference taught by Brigham Frandsen☆207Updated 3 months ago
- ☆234Updated 2 years ago
- A python module for the synthetic control method☆64Updated this week
- Instructional materials for econometrics short courses☆85Updated 6 months ago
- JupyterNotebook for the MIT course☆16Updated 2 years ago
- (Advanced) Applied Econometrics☆264Updated last week
- ☆247Updated 4 months ago
- Augmented Synthetic Control Method☆151Updated 2 months ago
- Course website for Ph.D. Applied Microeconometrics at the KDI School.☆122Updated 4 months ago
- This is the course repository for w241 and 290 -- Experiments and Causality.☆17Updated 3 years ago
- Slides for a forecasting course based on "Forecasting: Principles and Practice"☆173Updated 5 months ago
- Systematic dataset of Covid-19 policy, from Oxford University☆63Updated last year
- Documentation and User Guide for DoubleML - Double Machine Learning in Python & R☆21Updated this week
- Testing hypotheses through statistical models opens a universe of new possibilities. Learn how to improve your daily work with this appro…☆81Updated last year