Alternatives and similar repositories for pysynthdid

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

• bernardodionisi / differences
  difference-in-differences in Python
  ☆107Updated last year
• OscarEngelbrektson / SyntheticControlMethods
  A Python package for causal inference using Synthetic Controls
  ☆192Updated last year
• sdfordham / pysyncon
  A python module for the synthetic control method
  ☆79Updated last week
• shoepaladin / causalinference_crashcourse
  Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
  ☆111Updated last week
• microsoft / SparseSC
  Fit Sparse Synthetic Control Models in Python
  ☆87Updated last year
• nlapier2 / PySensemakr
  Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
  ☆56Updated 7 months ago
• py-econometrics / pyfixest
  Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax
  ☆284Updated last week
• d2cml-ai / csdid
  CSDID
  ☆39Updated this week
• matheusfacure / exploratory-notebooks
  Unstructured Code with interesting analysis
  ☆36Updated last year
• DoubleML / doubleml-docs
  Documentation and User Guide for DoubleML - Double Machine Learning in Python & R
  ☆26Updated this week
• tomcaputo / mixtape_learnr
  ☆81Updated 4 years ago
• matteocourthoud / Blog-Posts
  Code and notebooks for my Medium blog posts
  ☆131Updated last year
• NickCH-K / causaldata
  Packages of Example Data for The Effect
  ☆152Updated last year
• MCKnaus / causalML-teaching
  This repository consolidates my teaching material for "Causal Machine Learning".
  ☆260Updated 2 months ago
• evan-magnusson / rdd
  Python tools for regression discontinuity designs
  ☆69Updated 6 years ago
• nppackages / binsreg
  Partition selection, point estimation, pointwise and uniform inference, and graphical procedures using binscatter methods.
  ☆50Updated 4 months ago
• Mixtape-Sessions / Machine-Learning
  Machine Learning and Causal Inference taught by Brigham Frandsen
  ☆220Updated 3 months 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
• rdpackages / rdrobust
  Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.
  ☆88Updated 5 months ago
• MCFpy / mcf
  Official repository for the mcf package.
  ☆22Updated last month
• ebenmichael / augsynth
  Augmented Synthetic Control Method
  ☆162Updated 11 months ago
• jgreathouse9 / mlsynth
  This is the repository for the Python library mlsynth
  ☆54Updated last week
• Mixtape-Sessions / Synthetic-Control-and-Clustering
  Synthetic-Control-and-Clustering taught by Alberto Abadie
  ☆58Updated last year
• 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 11 months ago
• d2cml-ai / 14.388_py
  This material has been created based on the tutorials of the course 14.388 Inference on Causal and Structural Parameters Using ML and AI …
  ☆18Updated 2 years ago
• susanathey / MCPanel
  Matrix Completion Methods for Causal Panel Data Models
  ☆103Updated 4 years ago
• nppackages / scpi
  Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.
  ☆38Updated 6 months ago
• CausalAIBook / MetricsMLNotebooks
  Notebooks for Applied Causal Inference Powered by ML and AI
  ☆143Updated 9 months ago
• iamlemec / fastreg
  Fast sparse regressions with advanced formula syntax. OLS, GLM, Poisson, Maxlike, and more. High-dimensional fixed effects.
  ☆67Updated 2 years ago
• hmelberg / causal
  notebooks on methods for causal inference
  ☆36Updated last year