Alternatives and similar repositories for Machine-learning-in-policy-evaluation-new-tools-for-causal-inference

Users that are interested in Machine-learning-in-policy-evaluation-new-tools-for-causal-inference are comparing it to the libraries listed below

• MCKnaus / causalDML
  Implementation of Double Machine Learning
  ☆36Updated 5 months ago
• vsemenova / orthoml
  Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…
  ☆27Updated 2 years ago
• mwelz / GenericML
  R implementation of Generic Machine Learning Inference (Chernozhukov, Demirer, Duflo and Fernández-Val, 2020).
  ☆70Updated 8 months ago
• xuyiqing / fect
  fixed effect counterfactual estimators
  ☆76Updated 3 weeks ago
• jeremylhour / pensynth
  A Penalized Synthetic Control Estimator for Disaggregated Data (JASA, 2021)
  ☆35Updated 7 months ago
• ehkennedy / npcausal
  ☆95Updated last year
• demirermert / MLInference
  ☆100Updated 5 years ago
• pedrohcgs / DRDID
  Doubly Robust Difference-in-Differences Estimators
  ☆93Updated last week
• susanathey / MCPanel
  Matrix Completion Methods for Causal Panel Data Models
  ☆103Updated 4 years ago
• MCKnaus / CATEs
  Machine Learning Estimation of Heterogeneous Causal Effects
  ☆24Updated 4 years ago
• MCKnaus / dmlmt
  Double Machine Learning for Multiple Treatments
  ☆41Updated 4 years ago
• rdpackages / rdrobust
  Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.
  ☆86Updated 2 months ago
• xnie / rlearner
  Quasi-Oracle Estimation of Heterogeneous Treatment Effects
  ☆116Updated 4 years ago
• kolesarm / RDHonest
  Honest inference in regression discontinuity designs
  ☆62Updated 9 months ago
• bcallaway11 / ife
  Treatment Effects in Interactive Fixed Effects Model
  ☆17Updated 7 months ago
• ebenmichael / augsynth
  Augmented Synthetic Control Method
  ☆160Updated 8 months ago
• victor5as / RieszLearning
  Replication files for Chernozhukov, Newey, Quintas-Martínez and Syrgkanis (2021) "RieszNet and ForestRiesz: Automatic Debiased Machine Le…
  ☆14Updated 3 years ago
• stablemarkets / intro_bayesian_causal
  Repository for Introduction to Bayesian Estimation of Causal Effects
  ☆67Updated 4 years ago
• DoubleML / doubleml-for-r
  DoubleML - Double Machine Learning in R
  ☆151Updated 5 months ago
• NengChiehChang / Diff-in-Diff
  ☆22Updated 6 years ago
• edrubin / EC607S21
  Causal-inference oriented doctoral econometrics course at UO
  ☆82Updated 4 years ago
• kylebutts / didimputation
  Difference-in-differences Imputation-based Estimator proposed by Borusyak, Jaravel, and Spiess (2021)
  ☆52Updated 3 weeks ago
• jgreathouse9 / FDIDTutorial
  This repository contains the Python code to estimate the Forward and Augmented DID estimators.
  ☆12Updated 10 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…
  ☆35Updated 8 months ago
• Mixtape-Sessions / Causal-Inference
  Causal Inference Mixtape Sessions
  ☆97Updated 3 years ago
• alvarogutyerrez / TheDiscreteChoiceDataBank
  Collection of publicly available Discrete Choice Datasets
  ☆58Updated 3 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
• swager / optrdd
  Optimized regression discontinuity designs
  ☆30Updated 2 years ago
• nppackages / scpi
  Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.
  ☆37Updated 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