synthetic-control

Difference-in-Differences causal inference in Python. Callaway-Sant'Anna, Synthetic DiD, Honest DiD, event studies. sklearn-like API, validated against R.

StatsPAI is the first Agent-native Python library for causal inference and applied econometrics — unified API, broad cross-method coverage, structured result objects, machine-readable schemas, Skills, an MCP server, and R/Stata parity validation.

A Python package for causal inference using Synthetic Controls

A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference and more

Synthetic difference in differences for Python

Factor-Based Imputation for Missing Data

This is the repository for the Python library mlsynth

Agent skills that help you publish in the AER faster — identification-first empirics, AEA-compliant replication, Keith-Head intros, R&R rebuttals for AER / AER:Insights / AEJ. | 助你更快发表 AER 论文的 agent skill 栈：识别优先实证、AEA 合规复现、Keith Head 式引言、R&R 审稿回复，覆盖选题到投稿全流程。

Synthetic Control Methods

A Penalized Synthetic Control Estimator for Disaggregated Data (JASA, 2021)

fast synthetic control estimators for panel data problems

Causalis - State-of-the-art robust causal inference for experiments and observational data in python

Causal Inference Using Quasi-Experimental Methods

data repository for publicly available code and data of "Low-intensity fires mitigate the risk of catastrophic wildfires in California's forests"

Replication materials for the paper "Evaluating the Effect of Homicide Prevention Strategies in São Paulo, Brazil: A Synthetic Control Approach" (2016)

Tutorials for the synthetic control method for causal inference using PyMC

Replication code for "RNN-based counterfactual prediction, with an application to homestead policy and public schooling"

Replication code for "State-Building through Public Land Disposal? An Application of Matrix Completion for Counterfactual Prediction"

Comparative Case Studies using The Synthetic Control Method

⚡ Fast, unified synthetic control methods for R — one formula interface for SCM, SDID, GSC, MC, TASC & SI