Alternatives and similar repositories for SyntheticControlMethods:

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

• MasaAsami / pysynthdid
  Synthetic difference in differences for Python
  ☆76Updated 11 months ago
• bernardodionisi / differences
  difference-in-differences in Python
  ☆100Updated last year
• edgeslab / CTL
  A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
  ☆62Updated last year
• sdfordham / pysyncon
  A python module for the synthetic control method
  ☆64Updated 2 months ago
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆555Updated this week
• py-econometrics / pyfixest
  Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax
  ☆210Updated this week
• microsoft / SparseSC
  Fit Sparse Synthetic Control Models in Python
  ☆80Updated 11 months ago
• ksecology / FixedEffectModel
  Fixedeffectmodel: panel data modeling in Python
  ☆77Updated 3 years ago
• causal-machine-learning / kdd2021-tutorial
  EconML/CausalML KDD 2021 Tutorial
  ☆161Updated last year
• matteocourthoud / Blog-Posts
  Code and notebooks for my Medium blog posts
  ☆120Updated 11 months ago
• synth-inference / synthdid
  Synthetic difference in differences
  ☆279Updated last year
• timmens / causal-forest
  Implements the Causal Forest algorithm formulated in Athey and Wager (2018).
  ☆69Updated 4 years ago
• shoepaladin / causalinference_crashcourse
  Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
  ☆92Updated last week
• evan-magnusson / rdd
  Python tools for regression discontinuity designs
  ☆69Updated 5 years ago
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆49Updated 3 months ago
• susanathey / causalTree
  Working repository for Causal Tree and extensions
  ☆437Updated 4 years ago
• DoubleML / doubleml-docs
  Documentation and User Guide for DoubleML - Double Machine Learning in Python & R
  ☆21Updated this week
• Mixtape-Sessions / Machine-Learning
  Machine Learning and Causal Inference taught by Brigham Frandsen
  ☆206Updated 2 months ago
• MCKnaus / causalML-teaching
  This repository consolidates my teaching material for "Causal Machine Learning".
  ☆246Updated 4 months ago
• demirermert / MLInference
  ☆99Updated 4 years ago
• NickCH-K / causaldata
  Packages of Example Data for The Effect
  ☆136Updated 4 months ago
• apoorvalal / ding_causalInference_python
  python implementation of Peng Ding's "First Course in Causal Inference"
  ☆160Updated 9 months ago
• gsbDBI / ExperimentData
  ☆234Updated 2 years ago
• ebenmichael / augsynth
  Augmented Synthetic Control Method
  ☆150Updated last month
• dropout009 / sdid_python
  replication python code for synthetic difference in difference simulation. please check https://arxiv.org/abs/1812.09970 and https://gi…
  ☆15Updated 5 years ago
• matheusfacure / causal-inference-in-python-code
  Code for the Book Causal Inference in Python
  ☆292Updated last year
• 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…
  ☆313Updated 4 months ago
• py-why / causaltune
  AutoML for causal inference.
  ☆219Updated 2 months ago
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆346Updated last year
• grf-labs / policytree
  Policy learning via doubly robust empirical welfare maximization over trees
  ☆78Updated 9 months ago