d2cml-ai / csdidLinks
CSDID
☆32Updated 2 weeks ago
Alternatives and similar repositories for csdid
Users that are interested in csdid are comparing it to the libraries listed below
Sorting:
- Synthetic-Control-and-Clustering taught by Alberto Abadie☆51Updated 7 months ago
- ☆90Updated last year
- Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.☆85Updated 2 weeks ago
- difference-in-differences in Python☆103Updated last year
- This is a coding course in Python to accompany the Data Analysis material☆110Updated 2 years ago
- Synthetic difference in differences for Python☆83Updated last year
- Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax☆248Updated last week
- Regression Discontinuity Mixtape Track taught by Rocio Titiunik☆51Updated 7 months ago
- Frontiers in Difference-in-Differences taught by Brantly Callaway☆34Updated 7 months ago
- ☆100Updated 4 years ago
- Code to replicate the simulation study in the paper "Calibrating doubly-robust estimators with unbalanced treatment assignment"☆14Updated last year
- Machine Learning and Heterogeneous Effects taught by Brigham Frandsen☆59Updated 5 months ago
- ☆22Updated 5 years ago
- A curated collection of Python packages for applied economists, organized by functionality to support econometric analysis, data manageme…☆42Updated 8 months ago
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks☆103Updated 3 months ago
- Causal Inference 3 Mixtape Session taught by Scott Cunningham☆47Updated 3 weeks ago
- Matrix Completion Methods for Causal Panel Data Models☆102Updated 3 years ago
- "Computational Methods for Economists using Python", by Richard W. Evans. Tutorials and executable code in Python for the most commonly u…☆103Updated last year
- Machine Learning and Causal Inference taught by Brigham Frandsen☆208Updated 7 months ago
- Instrumental Variables Mixtape Track taught by Peter Hull☆112Updated 5 months ago
- This repository consolidates my teaching material for "Causal Machine Learning".☆255Updated 9 months ago
- A python module for the synthetic control method☆67Updated 3 months ago
- Estimation in Difference-in-Difference (DID) designs with multiple groups and periods.☆12Updated 9 months ago
- Doing Applied Economics Research Mixtape Track taught by Mark Anderson and Daniel Rees☆102Updated 6 months ago
- This repository provides R-code for the estimation of the conditional average treatment effect (CATE) using machine learning (ML) methods…☆35Updated 6 months ago
- Shift-Share Instrument Mixtape Track taught by Peter Hull☆95Updated last week
- Slides from NBER Methods Lecture (extracted from the Wayback Machine)☆46Updated last year
- Causal Inference Mixtape Sessions☆96Updated 3 years ago
- Design-Based Inference Mixtape Session taught by Peter Hull☆43Updated 7 months ago
- Course Materials for AEA Short Course on Modern Sampling Methods☆29Updated 3 years ago