Mixtape-Sessions / Machine-Learning
Machine Learning and Causal Inference taught by Brigham Frandsen
☆206Updated 2 months ago
Alternatives and similar repositories for Machine-Learning:
Users that are interested in Machine-Learning are comparing it to the libraries listed below
- This repository consolidates my teaching material for "Causal Machine Learning".☆246Updated 4 months ago
- Causal Inference 1 Mixtape Session taught by Scott Cunningham☆271Updated last month
- Causal Inference II Mixtape Session taught by Scott Cunningham☆190Updated last month
- Advanced Differnce-in-Differences Mixtape Track taught by Jonathan Roth☆161Updated 2 months ago
- Slides for the Seattle University Causal Inference Class☆134Updated 3 years ago
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆91Updated last month
- Causal Inference Mixtape Sessions☆94Updated 2 years ago
- Instrumental Variables Mixtape Track taught by Peter Hull☆107Updated 2 weeks ago
- ☆84Updated 10 months ago
- Regression Discontinuity Mixtape Track taught by Rocio Titiunik☆48Updated 2 months ago
- Doing Applied Economics Research Mixtape Track taught by Mark Anderson and Daniel Rees☆90Updated last month
- Machine Learning and Heterogeneous Effects taught by Brigham Frandsen☆52Updated last week
- Synthetic-Control-and-Clustering taught by Alberto Abadie☆49Updated 2 months ago
- Data and Program files for Causal Inference: The Mixtape☆416Updated 3 months ago
- difference-in-differences in Python☆99Updated last year
- (Advanced) Applied Econometrics☆265Updated 10 months ago
- This is a coding course in Python to accompany the Data Analysis material☆107Updated 2 years ago
- This is the repository for the slides used in the Seattle University Econometrics course☆148Updated 11 months ago
- Slides for the PhD level course in Econometrics at the Tinbergen Institute, Amsterdam☆213Updated last year
- PhD Applied Econometrics class taught at UC Berkeley☆257Updated 2 months ago
- Robust inference in difference-in-differences and event study designs☆196Updated this week
- Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax☆208Updated this week
- ☆99Updated 4 years ago
- python implementation of Peng Ding's "First Course in Causal Inference"☆158Updated 8 months ago
- Augmented Synthetic Control Method☆150Updated last month
- Causal Inference 3 Mixtape Session taught by Scott Cunningham☆41Updated 3 weeks ago
- Matrix Completion Methods for Causal Panel Data Models☆97Updated 3 years ago
- Demand Estimation taught by Jeff Gortmaker and Ariel Pakes☆85Updated 2 months ago
- Shift-Share Instrument Mixtape Track taught by Peter Hull☆85Updated 2 months ago
- Design-Based Inference Mixtape Session taught by Peter Hull☆43Updated 2 months ago