Alternatives and similar repositories for winter23

Users that are interested in winter23 are comparing it to the libraries listed below

• 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"
  ☆14Updated last year
• d2cml-ai / csdid
  CSDID
  ☆35Updated 4 months ago
• CausalAIBook / MetricsMLNotebooks
  Notebooks for Applied Causal Inference Powered by ML and AI
  ☆138Updated 8 months ago
• bernardodionisi / differences
  difference-in-differences in Python
  ☆106Updated last year
• shoepaladin / causalinference_crashcourse
  Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
  ☆108Updated last week
• jonathandroth / Econ1630_Github
  ☆91Updated 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…
  ☆35Updated 10 months ago
• Mixtape-Sessions / Machine-Learning
  Machine Learning and Causal Inference taught by Brigham Frandsen
  ☆218Updated last month
• keihirano / modern-sampling
  Course Materials for AEA Short Course on Modern Sampling Methods
  ☆29Updated 3 years ago
• mwelz / GenericML
  R implementation of Generic Machine Learning Inference (Chernozhukov, Demirer, Duflo and Fernández-Val, 2020).
  ☆74Updated 2 weeks ago
• Mixtape-Sessions / Synthetic-Control-and-Clustering
  Synthetic-Control-and-Clustering taught by Alberto Abadie
  ☆57Updated 11 months ago
• sdfordham / pysyncon
  A python module for the synthetic control method
  ☆78Updated 7 months ago
• Mixtape-Sessions / Regression-Discontinuity
  Regression Discontinuity Mixtape Track taught by Rocio Titiunik
  ☆54Updated 11 months ago
• Mixtape-Sessions / Heterogeneous-Effects
  Machine Learning and Heterogeneous Effects taught by Brigham Frandsen
  ☆66Updated 3 weeks ago
• xuyiqing / fect
  fixed effect counterfactual estimators
  ☆80Updated last week
• rdpackages / rdrobust
  Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.
  ☆88Updated 4 months ago
• MisraLab / cml.github.io
  ☆31Updated 2 years ago
• susanathey / MCPanel
  Matrix Completion Methods for Causal Panel Data Models
  ☆103Updated 4 years ago
• MartinSpindler / hdm
  ☆18Updated last year
• kolesarm / 517
  Econometric Theory I
  ☆30Updated last year
• MCKnaus / causalML-teaching
  This repository consolidates my teaching material for "Causal Machine Learning".
  ☆260Updated last month
• kwuthrich / scinference
  Inference for synthetic controls
  ☆39Updated 4 years ago
• d2cml-ai / CausalAI-Course
  Lectures and Tutorials for the Causal AI course
  ☆47Updated 3 weeks ago
• pedrohcgs / DRDID
  Doubly Robust Difference-in-Differences Estimators
  ☆93Updated this week
• Mixtape-Sessions / Frontiers-in-DID
  Frontiers in Difference-in-Differences taught by Brantly Callaway
  ☆36Updated 11 months ago
• iamlemec / fastreg
  Fast sparse regressions with advanced formula syntax. OLS, GLM, Poisson, Maxlike, and more. High-dimensional fixed effects.
  ☆67Updated 2 years ago
• Mixtape-Sessions / Design-Based-Inference
  Design-Based Inference Mixtape Session taught by Peter Hull
  ☆43Updated 11 months ago
• Mixtape-Sessions / Causal-Inference
  Causal Inference Mixtape Sessions
  ☆98Updated 3 years ago
• NickCH-K / causaldata
  Packages of Example Data for The Effect
  ☆150Updated last year
• Mixtape-Sessions / Difference-in-Differences
  Difference-in-Differences
  ☆41Updated 3 years ago