OscarEngelbrektson / SyntheticControlMethods

Related projects: ⓘ

• MasaAsami / pysynthdid
  Synthetic difference in differences for Python
  ☆62Updated 5 months ago
• bernardodionisi / differences
  difference-in-differences in Python
  ☆89Updated 8 months ago
• microsoft / SparseSC
  Fit Sparse Synthetic Control Models in Python
  ☆78Updated 5 months ago
• DoubleML / doubleml-for-py
  DoubleML - Double Machine Learning in Python
  ☆470Updated last week
• edgeslab / CTL
  A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python
  ☆62Updated 6 months ago
• evan-magnusson / rdd
  Python tools for regression discontinuity designs
  ☆67Updated 4 years ago
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆44Updated 7 months ago
• ksecology / FixedEffectModel
  Fixedeffectmodel: panel data modeling in Python
  ☆75Updated 2 years ago
• DoubleML / doubleml-docs
  Documentation and User Guide for DoubleML - Double Machine Learning in Python & R
  ☆20Updated 3 weeks ago
• timmens / causal-forest
  Implements the Causal Forest algorithm formulated in Athey and Wager (2018).
  ☆64Updated 4 years ago
• py-econometrics / pyfixest
  Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax
  ☆140Updated this week
• shoepaladin / causalinference_crashcourse
  Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
  ☆73Updated this week
• synth-inference / synthdid
  Synthetic difference in differences
  ☆262Updated 8 months ago
• matteocourthoud / Blog-Posts
  Code and notebooks for my Medium blog posts
  ☆110Updated 6 months ago
• causal-machine-learning / kdd2021-tutorial
  EconML/CausalML KDD 2021 Tutorial
  ☆160Updated last year
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆336Updated last year
• dropout009 / sdid_python
  replication python code for synthetic difference in difference simulation. please check https://arxiv.org/abs/1812.09970 and https://gi…
  ☆14Updated 5 years ago
• sdfordham / pysyncon
  A python module for the synthetic control method
  ☆44Updated last month
• susanathey / causalTree
  Working repository for Causal Tree and extensions
  ☆431Updated 4 years ago
• NickCH-K / causaldata
  Packages of Example Data for The Effect
  ☆124Updated 5 months ago
• konosp / propensity-score-matching
  ☆98Updated 3 years ago
• grf-labs / policytree
  Policy learning via doubly robust empirical welfare maximization over trees
  ☆74Updated 3 months ago
• MCKnaus / causalML-teaching
  This repository consolidates my teaching material for "Causal Machine Learning".
  ☆228Updated 6 months ago
• matheusfacure / causal-inference-in-python-code
  Code for the Book Causal Inference in Python
  ☆246Updated 7 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…
  ☆292Updated 11 months ago
• StatsReporting / stargazer
  Python implementation of the R stargazer multiple regression model creation tool
  ☆193Updated last month
• ebenmichael / augsynth
  Augmented Synthetic Control Method
  ☆144Updated last week
• py-why / causaltune
  AutoML for causal inference.
  ☆197Updated last week
• demirermert / MLInference
  ☆94Updated 4 years ago
• laurencium / Causalinference
  Causal Inference in Python
  ☆543Updated 4 years ago