Alternatives and similar repositories for sdid_python

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

• synth-inference / synthdid
  Synthetic difference in differences
  ☆284Updated last year
• susanathey / causalTree
  Working repository for Causal Tree and extensions
  ☆442Updated 3 months ago
• OscarEngelbrektson / SyntheticControlMethods
  A Python package for causal inference using Synthetic Controls
  ☆185Updated last year
• microsoft / SparseSC
  Fit Sparse Synthetic Control Models in Python
  ☆83Updated last year
• gsbDBI / ExperimentData
  ☆236Updated 2 years ago
• evan-magnusson / rdd
  Python tools for regression discontinuity designs
  ☆69Updated 5 years ago
• timmens / causal-forest
  Implements the Causal Forest algorithm formulated in Athey and Wager (2018).
  ☆70Updated 5 years ago
• edgeslab / CTL
  A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
  ☆64Updated last year
• vsemenova / orthoml
  Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…
  ☆25Updated 2 years ago
• demirermert / MLInference
  ☆100Updated 4 years ago
• bernardodionisi / differences
  difference-in-differences in Python
  ☆102Updated last year
• MasaAsami / pysynthdid
  Synthetic difference in differences for Python
  ☆81Updated last year
• jhartford / DeepIV
  Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
  ☆156Updated 4 years ago
• scunning1975 / mixtape
  Data and Program files for Causal Inference: The Mixtape
  ☆425Updated 2 weeks ago
• konosp / propensity-score-matching
  ☆103Updated 4 years ago
• ksecology / FixedEffectModel
  Fixedeffectmodel: panel data modeling in Python
  ☆80Updated 3 years ago
• susanathey / MCPanel
  Matrix Completion Methods for Causal Panel Data Models
  ☆102Updated 3 years ago
• ebenmichael / augsynth
  Augmented Synthetic Control Method
  ☆157Updated 5 months ago
• causal-machine-learning / kdd2021-tutorial
  EconML/CausalML KDD 2021 Tutorial
  ☆160Updated last year
• sdfordham / pysyncon
  A python module for the synthetic control method
  ☆67Updated 2 months ago
• xnie / rlearner
  Quasi-Oracle Estimation of Heterogeneous Treatment Effects
  ☆112Updated 4 years ago
• timothyb0912 / pylogit
  A python package for estimating conditional logit models.
  ☆193Updated 3 years ago
• grf-labs / policytree
  Policy learning via doubly robust empirical welfare maximization over trees
  ☆83Updated last year
• xuanyin / causal-mediation-analysis-for-ab-tests
  The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis
  ☆23Updated 2 years ago
• xuyiqing / fect
  fixed effect counterfactual estimators
  ☆74Updated last week
• MCKnaus / causalML-teaching
  This repository consolidates my teaching material for "Causal Machine Learning".
  ☆255Updated 8 months ago
• Chrisejorge / Causal-Inference
  Materials Collection for Causal Inference
  ☆47Updated 2 years ago
• NickCH-K / causaldata
  Packages of Example Data for The Effect
  ☆140Updated 8 months ago
• xuyiqing / gsynth
  Generalized Synthetic Control Method
  ☆141Updated 3 months ago
• shoepaladin / causalinference_crashcourse
  Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
  ☆101Updated 3 months ago