Alternatives and similar repositories for DSE2021_tutorials

Users that are interested in DSE2021_tutorials are comparing it to the libraries listed below

• keihirano / modern-sampling
  Course Materials for AEA Short Course on Modern Sampling Methods
  ☆29Updated 3 years ago
• MCKnaus / causalDML
  Implementation of Double Machine Learning
  ☆36Updated 6 months ago
• Mixtape-Sessions / Difference-in-Differences
  Difference-in-Differences
  ☆41Updated 3 years ago
• xuyiqing / fect
  fixed effect counterfactual estimators
  ☆76Updated last week
• Mixtape-Sessions / Causal-Inference
  Causal Inference Mixtape Sessions
  ☆97Updated 3 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 4 years ago
• NengChiehChang / Diff-in-Diff
  ☆22Updated 6 years ago
• Mixtape-Sessions / Synthetic-Control-and-Clustering
  Synthetic-Control-and-Clustering taught by Alberto Abadie
  ☆55Updated 10 months ago
• pedrohcgs / DRDID
  Doubly Robust Difference-in-Differences Estimators
  ☆93Updated 2 weeks ago
• kolesarm / RDHonest
  Honest inference in regression discontinuity designs
  ☆62Updated 10 months ago
• susanathey / MCPanel
  Matrix Completion Methods for Causal Panel Data Models
  ☆103Updated 4 years ago
• ebenmichael / augsynth
  Augmented Synthetic Control Method
  ☆160Updated 8 months ago
• chaisemartinPackages / did_multiplegt
  Estimation in Difference-in-Difference (DID) designs with multiple groups and periods.
  ☆13Updated 11 months ago
• edrubin / EC607S21
  Causal-inference oriented doctoral econometrics course at UO
  ☆82Updated 4 years ago
• jeremylhour / pensynth
  A Penalized Synthetic Control Estimator for Disaggregated Data (JASA, 2021)
  ☆35Updated 7 months ago
• worldbank / econometrics-sandbox
  This repository contains the code that creates the dashboards references in the “Econometrics Sandbox” blogpost series publish in the Dev…
  ☆30Updated 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 8 months ago
• NickCH-K / TheEffectAssignments
  Homework assignments to go along with The Effect
  ☆68Updated last month
• bcallaway11 / ife
  Treatment Effects in Interactive Fixed Effects Model
  ☆17Updated 7 months ago
• Mixtape-Sessions / Causal-Inference-3
  Causal Inference 3 Mixtape Session taught by Scott Cunningham
  ☆51Updated 3 months ago
• Mixtape-Sessions / Heterogeneous-Effects
  Machine Learning and Heterogeneous Effects taught by Brigham Frandsen
  ☆62Updated 7 months ago
• NickCH-K / causaldata
  Packages of Example Data for The Effect
  ☆149Updated 11 months ago
• scunning1975 / advanced_causalinf
  Advanced causal inference and research design course
  ☆93Updated 4 years ago
• MCKnaus / CATEs
  Machine Learning Estimation of Heterogeneous Causal Effects
  ☆25Updated 4 years ago
• NickCH-K / CausalitySlides
  Slides for the Seattle University Causal Inference Class
  ☆143Updated 4 years ago
• chabefer / STCI
  Statistical Tools for Causal Inference
  ☆40Updated 6 months ago
• scunning1975 / mixtape_learnr
  ☆86Updated 2 years ago
• gphk-metrics / stata-multe
  Multiple Treatment Effects
  ☆24Updated 3 months 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
• 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