Alternatives and similar repositories for causalDML

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

• swager / optrdd
  Optimized regression discontinuity designs
  ☆30Updated 2 years ago
• liulch / bpCausal
  A package for Bayesian causal inference with time-series cross-sectional data
  ☆26Updated last year
• keihirano / modern-sampling
  Course Materials for AEA Short Course on Modern Sampling Methods
  ☆29Updated 3 years ago
• MCKnaus / CATEs
  Machine Learning Estimation of Heterogeneous Causal Effects
  ☆24Updated 4 years ago
• xuyiqing / fect
  fixed effect counterfactual estimators
  ☆76Updated 3 weeks ago
• fhollenbach / did_compare
  R-code to compare some staggered did methods
  ☆26Updated 3 years ago
• chabefer / STCI
  Statistical Tools for Causal Inference
  ☆40Updated 6 months ago
• xuyiqing / panelView
  Visualizing Panel Data
  ☆48Updated last month
• bcallaway11 / ife
  Treatment Effects in Interactive Fixed Effects Model
  ☆17Updated 7 months ago
• Mixtape-Sessions / Difference-in-Differences
  Difference-in-Differences
  ☆41Updated 3 years ago
• kylebutts / didimputation
  Difference-in-differences Imputation-based Estimator proposed by Borusyak, Jaravel, and Spiess (2021)
  ☆52Updated 2 weeks ago
• 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  NO LONGER MAINTAINED.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 2 years ago
• kwuthrich / scinference
  Inference for synthetic controls
  ☆39Updated 4 years ago
• andrewchbaker / DiD_Codes
  This repo contains the codes for Baker, Larcker, Wang - "How Much Should We Trust Staggered Difference-in-Differences Estimates?"
  ☆51Updated 4 years ago
• mwelz / GenericML
  R implementation of Generic Machine Learning Inference (Chernozhukov, Demirer, Duflo and Fernández-Val, 2020).
  ☆70Updated 8 months ago
• jeremylhour / pensynth
  A Penalized Synthetic Control Estimator for Disaggregated Data (JASA, 2021)
  ☆35Updated 7 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
• mmeierer / REndo
  REndo - A R package to control for endogeneity by using internal instrumental variable models
  ☆18Updated last year
• madina-k / DSE2021_tutorials
  ☆20Updated 4 years ago
• kylebutts / Difference-in-Differences-Ring-Method
  ☆20Updated 2 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 8 months ago
• jeremylhour / hdmetrics
  Machine Learning for Econometrics -- ENSAE Paris
  ☆25Updated 5 years ago
• bcallaway11 / did_chapter
  Code for DID chapter
  ☆11Updated 2 years ago
• evanjflack / bacondecomp
  Bacon-Goodman decomposition for differences-in-differences with variation in treatment timing.
  ☆49Updated 4 years ago
• pedrohcgs / DRDID
  Doubly Robust Difference-in-Differences Estimators
  ☆93Updated last week
• nppackages / scpi
  Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.
  ☆37Updated 3 months ago
• kolesarm / RDHonest
  Honest inference in regression discontinuity designs
  ☆62Updated 9 months ago
• xuyiqing / gsynth
  Generalized Synthetic Control Method
  ☆143Updated 6 months ago
• taylorjwright / did_reading_group
  Code snippets from DiD Reading Group meetings
  ☆43Updated 4 years ago
• vsemenova / orthoml
  Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…
  ☆25Updated 2 years ago