Alternatives and similar repositories for differences

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

• MasaAsami / pysynthdid
  Synthetic difference in differences for Python
  ☆84Updated last year
• d2cml-ai / csdid
  CSDID
  ☆34Updated last month
• py-econometrics / pyfixest
  Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax
  ☆260Updated this week
• MCKnaus / causalML-teaching
  This repository consolidates my teaching material for "Causal Machine Learning".
  ☆260Updated 10 months ago
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆52Updated 4 months ago
• shoepaladin / causalinference_crashcourse
  Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
  ☆104Updated 5 months ago
• NickCH-K / causaldata
  Packages of Example Data for The Effect
  ☆148Updated 10 months ago
• rdpackages / rdrobust
  Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.
  ☆86Updated last month
• tomcaputo / mixtape_learnr
  ☆81Updated 4 years ago
• MCFpy / mcf
  Official repository for the mcf package.
  ☆21Updated 2 weeks ago
• pedrohcgs / DRDID
  Doubly Robust Difference-in-Differences Estimators
  ☆93Updated 3 months ago
• demirermert / MLInference
  ☆100Updated 5 years ago
• OscarEngelbrektson / SyntheticControlMethods
  A Python package for causal inference using Synthetic Controls
  ☆190Updated last year
• ebenmichael / augsynth
  Augmented Synthetic Control Method
  ☆159Updated 7 months ago
• susanathey / MCPanel
  Matrix Completion Methods for Causal Panel Data Models
  ☆102Updated 4 years ago
• sdfordham / pysyncon
  A python module for the synthetic control method
  ☆73Updated 4 months ago
• gsbDBI / ExperimentData
  ☆238Updated 2 years ago
• gsbDBI / ds-wgan
  Design of Simulations using WGAN
  ☆53Updated 2 years ago
• Mixtape-Sessions / Machine-Learning
  Machine Learning and Causal Inference taught by Brigham Frandsen
  ☆209Updated 8 months ago
• NickCH-K / CausalitySlides
  Slides for the Seattle University Causal Inference Class
  ☆142Updated 4 years ago
• synth-inference / synthdid
  Synthetic difference in differences
  ☆286Updated last year
• 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 7 months ago
• DoubleML / doubleml-docs
  Documentation and User Guide for DoubleML - Double Machine Learning in Python & R
  ☆24Updated last week
• microsoft / SparseSC
  Fit Sparse Synthetic Control Models in Python
  ☆86Updated last year
• CausalAIBook / MetricsMLNotebooks
  Notebooks for Applied Causal Inference Powered by ML and AI
  ☆128Updated 5 months ago
• Mixtape-Sessions / Synthetic-Control-and-Clustering
  Synthetic-Control-and-Clustering taught by Alberto Abadie
  ☆53Updated 8 months ago
• victor5as / RieszLearning
  Replication files for Chernozhukov, Newey, Quintas-Martínez and Syrgkanis (2021) "RieszNet and ForestRiesz: Automatic Debiased Machine Le…
  ☆14Updated 3 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 2 years ago
• nppackages / binsreg
  Partition selection, point estimation, pointwise and uniform inference, and graphical procedures using binscatter methods.
  ☆47Updated 3 weeks ago
• xuyiqing / fect
  fixed effect counterfactual estimators
  ☆75Updated this week