MCKnaus / causalDML

Related projects ⓘ

Alternatives and complementary repositories for causalDML

• MCKnaus / CATEs
  Machine Learning Estimation of Heterogeneous Causal Effects
  ☆24Updated 3 years ago
• bcallaway11 / ife
  Treatment Effects in Interactive Fixed Effects Model
  ☆17Updated 2 months ago
• kylebutts / didimputation
  Difference-in-differences Imputation-based Estimator proposed by Borusyak, Jaravel, and Spiess (2021)
  ☆46Updated 4 months ago
• fhollenbach / did_compare
  R-code to compare some staggered did methods
  ☆26Updated 2 years ago
• kolesarm / RDHonest
  Honest inference in regression discontinuity designs
  ☆56Updated 3 months 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  NO LONGER MAINTAINED.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 last year
• JMSLab / eventstudyr
  ☆24Updated 3 weeks ago
• keihirano / modern-sampling
  Course Materials for AEA Short Course on Modern Sampling Methods
  ☆28Updated 2 years ago
• swager / optrdd
  Optimized regression discontinuity designs
  ☆28Updated last year
• bcallaway11 / did_chapter
  Code for DID chapter
  ☆11Updated last year
• NengChiehChang / Diff-in-Diff
  ☆19Updated 5 years ago
• xuyiqing / fect
  fixed effect counterfactual estimators
  ☆57Updated last week
• jeremylhour / pensynth
  A Penalized Synthetic Control Estimator for Disaggregated Data (JASA, 2021)
  ☆34Updated 9 months ago
• Mixtape-Sessions / Difference-in-Differences
  Difference-in-Differences
  ☆39Updated 2 years ago
• gphk-metrics / stata-multe
  Multiple Treatment Effects
  ☆21Updated 4 months ago
• andrewchbaker / DiD_Codes
  This repo contains the codes for Baker, Larcker, Wang - "How Much Should We Trust Staggered Difference-in-Differences Estimates?"
  ☆49Updated 3 years ago
• xuyiqing / panelView
  Visualizing Panel Data
  ☆48Updated 5 months ago
• liulch / bpCausal
  A package for Bayesian causal inference with time-series cross-sectional data
  ☆26Updated 10 months ago
• kylebutts / Spatial-Spillover
  ☆25Updated 9 months 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…
  ☆32Updated 3 years ago
• nppackages / scpi
  Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.
  ☆30Updated this week
• jonathandroth / pretrends
  R package for power calculations and visualization for pre-trends tests
  ☆56Updated 7 months ago
• taylorjwright / did_reading_group
  Code snippets from DiD Reading Group meetings
  ☆38Updated 3 years ago
• scunning1975 / advanced_causalinf
  Advanced causal inference and research design course
  ☆90Updated 3 years ago
• pedrohcgs / DRDID
  Doubly Robust Difference-in-Differences Estimators
  ☆88Updated last month
• naoki-egami / DIDdesign
  R package DIDdesign: Analyzing Difference-in-Differences Design
  ☆35Updated 5 months ago
• VC2015 / DMLonGitHub
  ☆21Updated 6 years ago
• edrubin / EC524W20
  Masters-level applied econometrics course—focusing on prediction—at the University of Oregon (EC424/524 during Winter quarter, 2020 Taugh…
  ☆81Updated 3 years ago
• kylebutts / Difference-in-Differences-Ring-Method
  ☆18Updated last year