Alternatives and similar repositories for causaldata

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

• NickCH-K / causalbook
  Replication code and downloadable example data sets for The Effect
  ☆199Updated 2 months ago
• NickCH-K / CausalitySlides
  Slides for the Seattle University Causal Inference Class
  ☆140Updated 4 years ago
• pedrohcgs / DRDID
  Doubly Robust Difference-in-Differences Estimators
  ☆93Updated 2 months ago
• ebenmichael / augsynth
  Augmented Synthetic Control Method
  ☆157Updated 6 months ago
• grf-labs / policytree
  Policy learning via doubly robust empirical welfare maximization over trees
  ☆83Updated 2 weeks ago
• NickCH-K / introcausality
  Class materials for "Economics, Causality, and Analytics"
  ☆121Updated 5 years ago
• insongkim / PanelMatch
  ☆127Updated 3 months ago
• xuyiqing / gsynth
  Generalized Synthetic Control Method
  ☆143Updated 4 months ago
• susanathey / MCPanel
  Matrix Completion Methods for Causal Panel Data Models
  ☆102Updated 3 years ago
• xuyiqing / fect
  fixed effect counterfactual estimators
  ☆75Updated 2 weeks ago
• tomcaputo / mixtape_learnr
  ☆81Updated 4 years ago
• MCKnaus / causalDML
  Implementation of Double Machine Learning
  ☆36Updated 3 months ago
• rgiordan / zaminfluence
  Tools in R for computing and using Z-estimator approximate influence functions.
  ☆98Updated 11 months ago
• nppackages / scpi
  Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.
  ☆34Updated last month
• keihirano / modern-sampling
  Course Materials for AEA Short Course on Modern Sampling Methods
  ☆29Updated 3 years ago
• kwuthrich / scinference
  Inference for synthetic controls
  ☆39Updated 4 years ago
• kylebutts / did2s
  Two-stage Difference-in-Differences package following Gardner (2021)
  ☆104Updated 3 months ago
• edrubin / EC524W20
  Masters-level applied econometrics course—focusing on prediction—at the University of Oregon (EC424/524 during Winter quarter, 2020 Taugh…
  ☆81Updated 4 years ago
• NickCH-K / TheEffectAssignments
  Homework assignments to go along with The Effect
  ☆66Updated 2 months ago
• liulch / bpCausal
  A package for Bayesian causal inference with time-series cross-sectional data
  ☆26Updated last year
• demirermert / MLInference
  ☆100Updated 4 years ago
• scunning1975 / advanced_causalinf
  Advanced causal inference and research design course
  ☆93Updated 3 years ago
• madina-k / DSE2021_tutorials
  ☆20Updated 4 years ago
• Mixtape-Sessions / Causal-Inference
  Causal Inference Mixtape Sessions
  ☆96Updated 3 years ago
• 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 6 months ago
• mwelz / GenericML
  R implementation of Generic Machine Learning Inference (Chernozhukov, Demirer, Duflo and Fernández-Val, 2020).
  ☆69Updated 6 months ago
• mikenguyen13 / data_analysis
  Streamline a data analysis process
  ☆76Updated 2 months ago
• VC2015 / DMLonGitHub
  ☆22Updated 7 years ago
• evanjflack / bacondecomp
  Bacon-Goodman decomposition for differences-in-differences with variation in treatment timing.
  ☆49Updated 3 years ago
• xnie / rlearner
  Quasi-Oracle Estimation of Heterogeneous Treatment Effects
  ☆113Updated 4 years ago