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
  ☆86Updated last year
• bernardodionisi / differences
  difference-in-differences in Python
  ☆106Updated last year
• d2cml-ai / csdid
  CSDID
  ☆37Updated 5 months ago
• shoepaladin / causalinference_crashcourse
  Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooks
  ☆108Updated last week
• OscarEngelbrektson / SyntheticControlMethods
  A Python package for causal inference using Synthetic Controls
  ☆192Updated last year
• 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
  ☆54Updated 7 months ago
• nppackages / scpi
  Prediction and inference procedures for synthetic control methods with multiple treated units and staggered adoption.
  ☆37Updated 5 months ago
• NickCH-K / causaldata
  Packages of Example Data for The Effect
  ☆150Updated 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
• Mixtape-Sessions / Synthetic-Control-and-Clustering
  Synthetic-Control-and-Clustering taught by Alberto Abadie
  ☆57Updated last year
• nppackages / binsreg
  Partition selection, point estimation, pointwise and uniform inference, and graphical procedures using binscatter methods.
  ☆50Updated 4 months ago
• tomcaputo / mixtape_learnr
  ☆81Updated 4 years ago
• kwuthrich / scinference
  Inference for synthetic controls
  ☆39Updated 4 years ago
• rdpackages / rdrobust
  Statistical inference and graphical procedures for RD designs using local polynomial and partitioning regression methods.
  ☆88Updated 5 months ago
• susanathey / MCPanel
  Matrix Completion Methods for Causal Panel Data Models
  ☆103Updated 4 years ago
• py-econometrics / pyfixest
  Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax
  ☆279Updated this week
• Mixtape-Sessions / Machine-Learning
  Machine Learning and Causal Inference taught by Brigham Frandsen
  ☆218Updated 2 months ago
• MCKnaus / causalML-teaching
  This repository consolidates my teaching material for "Causal Machine Learning".
  ☆260Updated 2 months ago
• xuyiqing / fect
  fixed effect counterfactual estimators
  ☆81Updated 3 weeks 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
• jgreathouse9 / mlsynth
  This is the repository for the Python library mlsynth
  ☆53Updated last week
• 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
• bcallaway11 / contdid
  Difference-in-Differences with a Continuous Treatment
  ☆44Updated 6 months ago
• stanford-msande228 / winter23
  ☆23Updated last year
• keihirano / modern-sampling
  Course Materials for AEA Short Course on Modern Sampling Methods
  ☆29Updated 3 years ago
• ebenmichael / augsynth
  Augmented Synthetic Control Method
  ☆162Updated 10 months ago
• demirermert / MLInference
  ☆100Updated 5 years ago
• xuyiqing / fect_python
  Python version of fixed effects counterfactual estimators
  ☆11Updated 4 months ago
• jeremylhour / hdmetrics
  Machine Learning for Econometrics -- ENSAE Paris
  ☆26Updated 5 years ago