Alternatives and similar repositories for sdid_python

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

• OscarEngelbrektson / SyntheticControlMethods
  A Python package for causal inference using Synthetic Controls
  ☆192Updated last year
• edgeslab / CTL
  A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
  ☆67Updated last year
• timmens / causal-forest
  Implements the Causal Forest algorithm formulated in Athey and Wager (2018).
  ☆69Updated 5 years ago
• susanathey / causalTree
  Working repository for Causal Tree and extensions
  ☆447Updated 6 months ago
• synth-inference / synthdid
  Synthetic difference in differences
  ☆290Updated last year
• MasaAsami / pysynthdid
  Synthetic difference in differences for Python
  ☆85Updated last year
• microsoft / SparseSC
  Fit Sparse Synthetic Control Models in Python
  ☆87Updated last year
• evan-magnusson / rdd
  Python tools for regression discontinuity designs
  ☆69Updated 6 years ago
• MCKnaus / causalML-teaching
  This repository consolidates my teaching material for "Causal Machine Learning".
  ☆260Updated last week
• scunning1975 / mixtape
  Data and Program files for Causal Inference: The Mixtape
  ☆437Updated 2 weeks ago
• causal-machine-learning / kdd2021-tutorial
  EconML/CausalML KDD 2021 Tutorial
  ☆163Updated 2 years ago
• bernardodionisi / differences
  difference-in-differences in Python
  ☆106Updated last year
• jhartford / DeepIV
  Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
  ☆158Updated 4 years ago
• gsbDBI / ExperimentData
  ☆238Updated 2 years ago
• sdfordham / pysyncon
  A python module for the synthetic control method
  ☆77Updated 6 months ago
• ebenmichael / augsynth
  Augmented Synthetic Control Method
  ☆161Updated 9 months ago
• kjung / scikit-learn
  A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.
  ☆22Updated 8 years ago
• Chrisejorge / Causal-Inference
  Materials Collection for Causal Inference
  ☆47Updated 2 years ago
• demirermert / MLInference
  ☆100Updated 5 years 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
• konosp / propensity-score-matching
  ☆105Updated 4 years ago
• timothyb0912 / pylogit
  A python package for estimating conditional logit models.
  ☆201Updated 3 years ago
• Ibotta / mr_uplift
  Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…
  ☆71Updated 6 months ago
• laurencium / Causalinference
  Causal Inference in Python
  ☆573Updated 4 months ago
• kochbj / Deep-Learning-for-Causal-Inference
  Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflo…
  ☆341Updated last year
• shoepaladin / causalinference_crashcourse
  Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
  ☆107Updated last month
• ksecology / FixedEffectModel
  Fixedeffectmodel: panel data modeling in Python
  ☆79Updated 3 years ago
• xuyiqing / fect
  fixed effect counterfactual estimators
  ☆78Updated last week
• xnie / rlearner
  Quasi-Oracle Estimation of Heterogeneous Treatment Effects
  ☆118Updated 4 years ago
• xuyiqing / gsynth
  Generalized Synthetic Control Method
  ☆144Updated 6 months ago