Alternatives and similar repositories for CausalModel

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

• gsbDBI / ds-wgan
  Design of Simulations using WGAN
  ☆53Updated 2 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
• MCKnaus / causalDML
  Implementation of Double Machine Learning
  ☆36Updated 5 months ago
• grf-labs / policytree
  Policy learning via doubly robust empirical welfare maximization over trees
  ☆84Updated last month
• ehkennedy / npcausal
  ☆95Updated last year
• vsemenova / econ241C
  Machine Learning for Economics
  ☆18Updated 2 years ago
• jeremylhour / pensynth
  A Penalized Synthetic Control Estimator for Disaggregated Data (JASA, 2021)
  ☆35Updated 6 months ago
• xuyiqing / fect
  fixed effect counterfactual estimators
  ☆75Updated this week
• keihirano / modern-sampling
  Course Materials for AEA Short Course on Modern Sampling Methods
  ☆29Updated 3 years ago
• swager / balanceHD
  Approximately balanced estimation of average treatment effects in high dimensions.
  ☆35Updated 4 years ago
• bernardodionisi / differences
  difference-in-differences in Python
  ☆105Updated last year
• jgreathouse9 / FDIDTutorial
  This repository contains the Python code to estimate the Forward and Augmented DID estimators.
  ☆12Updated 9 months ago
• benjaminbluhm / econometrics_at_scale
  ☆15Updated 3 years ago
• NickCH-K / CausalitySlides
  Slides for the Seattle University Causal Inference Class
  ☆142Updated 4 years ago
• susanathey / MCPanel
  Matrix Completion Methods for Causal Panel Data Models
  ☆102Updated 4 years ago
• liulch / bpCausal
  A package for Bayesian causal inference with time-series cross-sectional data
  ☆26Updated last year
• swager / optrdd
  Optimized regression discontinuity designs
  ☆30Updated 2 years ago
• pedrohcgs / DRDID
  Doubly Robust Difference-in-Differences Estimators
  ☆93Updated 3 months ago
• mwelz / GenericML
  R implementation of Generic Machine Learning Inference (Chernozhukov, Demirer, Duflo and Fernández-Val, 2020).
  ☆70Updated 7 months ago
• kolesarm / 517
  Econometric Theory I
  ☆27Updated 11 months ago
• kwuthrich / scinference
  Inference for synthetic controls
  ☆39Updated 4 years ago
• gzervas / torchblp
  pytorch implementation of BLP'95
  ☆26Updated 5 years ago
• bcallaway11 / ife
  Treatment Effects in Interactive Fixed Effects Model
  ☆17Updated 6 months ago
• lihualei71 / cfcausal
  R package cfcausal
  ☆32Updated 2 years ago
• bcallaway11 / did_chapter
  Code for DID chapter
  ☆11Updated 2 years ago
• hammadshaikhha / Causal-Inference-Mastery
  Notes and simulations on graduate level causal inference in statistics with applications to social sciences.
  ☆23Updated 6 years ago
• kolesarm / ebci
  Robust empirical Bayes confidence intervals
  ☆11Updated last year
• lihualei71 / cfcausalPaper
  Paper Repository
  ☆12Updated 3 years ago
• victor5as / RieszLearning
  Replication files for Chernozhukov, Newey, Quintas-Martínez and Syrgkanis (2021) "RieszNet and ForestRiesz: Automatic Debiased Machine Le…
  ☆14Updated 3 years ago
• dballinari / Calibrating-doubly-robust-estimators-with-unbalanced-treatment-assignment
  Code to replicate the simulation study in the paper "Calibrating doubly-robust estimators with unbalanced treatment assignment"
  ☆14Updated last year