stanford-msande228 / winter23

Related projects ⓘ

Alternatives and complementary repositories for winter23

• dballinari / Calibrating-doubly-robust-estimators-with-unbalanced-treatment-assignment
  Code to replicate the simulation study in the paper "Calibrating doubly-robust estimators with unbalanced treatment assignment"
  ☆13Updated 6 months ago
• d2cml-ai / csdid
  CSDID
  ☆23Updated last week
• QuantLet / Meta_learner-for-Causal-ML
  This repository provides R-code for the estimation of the conditional average treatment effect (CATE) using machine learning (ML) methods…
  ☆32Updated 3 years ago
• keihirano / modern-sampling
  Course Materials for AEA Short Course on Modern Sampling Methods
  ☆28Updated 2 years ago
• d2cml-ai / 14.388_py
  This material has been created based on the tutorials of the course 14.388 Inference on Causal and Structural Parameters Using ML and AI …
  ☆16Updated last year
• Mixtape-Sessions / Regression-Discontinuity
  Regression Discontinuity Mixtape Track taught by Rocio Titiunik
  ☆44Updated 8 months ago
• xuyiqing / fect
  fixed effect counterfactual estimators
  ☆57Updated last week
• Mixtape-Sessions / Heterogeneous-Effects
  Machine Learning and Heterogeneous Effects taught by Brigham Frandsen
  ☆42Updated 7 months ago
• AStrittmatter / ML-for-Econometrics
  ☆8Updated 9 months ago
• kwuthrich / scinference
  Inference for synthetic controls
  ☆38Updated 3 years ago
• shoepaladin / causalinference_crashcourse
  Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
  ☆79Updated last month
• rdpackages / rdrobust
  Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.
  ☆74Updated last month
• lihualei71 / cfcausalPaper
  Paper Repository
  ☆11Updated 2 years ago
• Mixtape-Sessions / Frontiers-in-DID
  Frontiers in Difference-in-Differences taught by Brantly Callaway
  ☆27Updated 8 months ago
• pedrohcgs / pstest
  Specification test for the propensity score
  ☆12Updated 2 years ago
• d2cml-ai / mgtecon634_py
  This tutorial will introduce key concepts in machine learning-based causal inference. This tutorial is used by professor Susan Athey in t…
  ☆12Updated last year
• zachporreca / staggered_adoption_synthdid
  NO LONGER MAINTAINED. Links to alternative packages are in the readme. Code to incorporate staggered treatment adoption (based on appendi…
  ☆21Updated last year
• victor5as / RieszLearning
  Replication files for Chernozhukov, Newey, Quintas-Martínez and Syrgkanis (2021) "RieszNet and ForestRiesz: Automatic Debiased Machine Le…
  ☆13Updated 2 years ago
• CausalAIBook / MetricsMLNotebooks
  Notebooks for Applied Causal Inference Powered by ML and AI
  ☆84Updated last month
• kolesarm / 517
  Econometric Theory I
  ☆19Updated last month
• Mixtape-Sessions / Doing-Applied-Research
  Doing Applied Economics Research Mixtape Track taught by Mark Anderson and Daniel Rees
  ☆69Updated 2 weeks ago
• Mixtape-Sessions / Synthetic-Control-and-Clustering
  Synthetic-Control-and-Clustering taught by Alberto Abadie
  ☆41Updated 8 months ago
• bcallaway11 / twfeweights
  TWFE weights
  ☆9Updated 3 weeks ago
• bernardodionisi / differences
  difference-in-differences in Python
  ☆93Updated 10 months ago
• apoorvalal / synthlearners
  fast synthetic control estimators for panel data problems
  ☆13Updated this week
• alexanderquispe / 14.38_Causal_ML
  JupyterNotebook for the MIT course
  ☆14Updated 2 years ago
• nppackages / scpi
  Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.
  ☆30Updated this week
• Mixtape-Sessions / Design-Based-Inference
  Design-Based Inference Mixtape Session taught by Peter Hull
  ☆39Updated 2 months ago
• Mixtape-Sessions / Difference-in-Differences
  Difference-in-Differences
  ☆39Updated 2 years ago
• mattmasten / tesensitivity
  A Stata package for assessing sensitivity to the unconfoundedness assumption
  ☆9Updated last year