Alternatives and similar repositories for pysyncon

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

• MasaAsami / pysynthdid
  Synthetic difference in differences for Python
  ☆84Updated last year
• shoepaladin / causalinference_crashcourse
  Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
  ☆104Updated 5 months ago
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆52Updated 3 months ago
• bernardodionisi / differences
  difference-in-differences in Python
  ☆105Updated last year
• d2cml-ai / csdid
  CSDID
  ☆34Updated last month
• microsoft / SparseSC
  Fit Sparse Synthetic Control Models in Python
  ☆86Updated last year
• OscarEngelbrektson / SyntheticControlMethods
  A Python package for causal inference using Synthetic Controls
  ☆190Updated last year
• 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
• NickCH-K / causaldata
  Packages of Example Data for The Effect
  ☆148Updated 10 months ago
• nppackages / scpi
  Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.
  ☆36Updated 2 months ago
• tomcaputo / mixtape_learnr
  ☆81Updated 4 years ago
• QuantLet / Meta_learner-for-Causal-ML
  This repository provides R-code for the estimation of the conditional average treatment effect (CATE) using machine learning (ML) methods…
  ☆35Updated 7 months ago
• MCKnaus / causalML-teaching
  This repository consolidates my teaching material for "Causal Machine Learning".
  ☆260Updated 10 months ago
• xuyiqing / fect
  fixed effect counterfactual estimators
  ☆75Updated this week
• rdpackages / rdrobust
  Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.
  ☆86Updated last month
• Mixtape-Sessions / Synthetic-Control-and-Clustering
  Synthetic-Control-and-Clustering taught by Alberto Abadie
  ☆53Updated 8 months ago
• kwuthrich / scinference
  Inference for synthetic controls
  ☆39Updated 4 years ago
• susanathey / MCPanel
  Matrix Completion Methods for Causal Panel Data Models
  ☆102Updated 4 years ago
• mwelz / GenericML
  R implementation of Generic Machine Learning Inference (Chernozhukov, Demirer, Duflo and Fernández-Val, 2020).
  ☆70Updated 7 months ago
• py-econometrics / pyfixest
  Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax
  ☆259Updated last week
• iamlemec / fastreg
  Fast sparse regressions with advanced formula syntax. OLS, GLM, Poisson, Maxlike, and more. High-dimensional fixed effects.
  ☆63Updated 2 years ago
• ebenmichael / augsynth
  Augmented Synthetic Control Method
  ☆159Updated 7 months ago
• demirermert / MLInference
  ☆100Updated 5 years ago
• AlxndrMlk / huber-causal-analysis
  Jupyter Notebook adaptation of the code from Huber (2023) - Causal Analysis
  ☆11Updated last year
• evan-magnusson / rdd
  Python tools for regression discontinuity designs
  ☆70Updated 5 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
• keihirano / modern-sampling
  Course Materials for AEA Short Course on Modern Sampling Methods
  ☆29Updated 3 years ago
• nppackages / binsreg
  Partition selection, point estimation, pointwise and uniform inference, and graphical procedures using binscatter methods.
  ☆47Updated 3 weeks ago
• MCKnaus / causalDML
  Implementation of Double Machine Learning
  ☆36Updated 4 months ago
• pedrohcgs / DRDID
  Doubly Robust Difference-in-Differences Estimators
  ☆93Updated 3 months ago