Alternatives and similar repositories for causaldata

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

• NickCH-K / CausalitySlides
  Slides for the Seattle University Causal Inference Class
  ☆136Updated 4 years ago
• NickCH-K / causalbook
  Replication code and downloadable example data sets for The Effect
  ☆197Updated last month
• susanathey / MCPanel
  Matrix Completion Methods for Causal Panel Data Models
  ☆102Updated 3 years ago
• pedrohcgs / DRDID
  Doubly Robust Difference-in-Differences Estimators
  ☆92Updated last month
• ebenmichael / augsynth
  Augmented Synthetic Control Method
  ☆157Updated 5 months ago
• nppackages / scpi
  Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.
  ☆33Updated last week
• MCKnaus / causalDML
  Implementation of Double Machine Learning
  ☆36Updated 3 months ago
• xuyiqing / fect
  fixed effect counterfactual estimators
  ☆74Updated last week
• NickCH-K / introcausality
  Class materials for "Economics, Causality, and Analytics"
  ☆121Updated 5 years ago
• grf-labs / policytree
  Policy learning via doubly robust empirical welfare maximization over trees
  ☆83Updated last year
• 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
• kwuthrich / scinference
  Inference for synthetic controls
  ☆39Updated 4 years ago
• Mixtape-Sessions / Causal-Inference
  Causal Inference Mixtape Sessions
  ☆95Updated 3 years ago
• tomcaputo / mixtape_learnr
  ☆81Updated 4 years ago
• insongkim / PanelMatch
  ☆124Updated 2 months ago
• scunning1975 / advanced_causalinf
  Advanced causal inference and research design course
  ☆93Updated 3 years ago
• keihirano / modern-sampling
  Course Materials for AEA Short Course on Modern Sampling Methods
  ☆29Updated 3 years ago
• rgiordan / zaminfluence
  Tools in R for computing and using Z-estimator approximate influence functions.
  ☆98Updated 10 months ago
• mwelz / GenericML
  R implementation of Generic Machine Learning Inference (Chernozhukov, Demirer, Duflo and Fernández-Val, 2020).
  ☆69Updated 5 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
• kylebutts / did2s
  Two-stage Difference-in-Differences package following Gardner (2021)
  ☆104Updated 2 months ago
• xuyiqing / gsynth
  Generalized Synthetic Control Method
  ☆141Updated 3 months ago
• bernardodionisi / differences
  difference-in-differences in Python
  ☆102Updated 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 5 months ago
• NickCH-K / TheEffectAssignments
  Homework assignments to go along with The Effect
  ☆65Updated 2 months ago
• carloscinelli / sensemakr
  Suite of sensitivity analysis tools for OLS
  ☆94Updated 8 months ago
• ngreifer / cobalt
  Covariate Balance Tables and Plots - An R package for assessing covariate balance
  ☆76Updated last month
• MCKnaus / dmlmt
  Double Machine Learning for Multiple Treatments
  ☆41Updated 4 years ago
• Mixtape-Sessions / Difference-in-Differences
  Difference-in-Differences
  ☆41Updated 3 years ago