Difference-in-Differences causal inference in Python. Callaway-Sant'Anna, Synthetic DiD, Honest DiD, event studies. sklearn-like API, validated against R.
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Jul 21, 2026 - Python
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
Synthetic Control Methods
A Penalized Synthetic Control Estimator for Disaggregated Data (JASA, 2021)
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。
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"
Tutorials for the synthetic control method for causal inference using PyMC
Replication materials for the paper "Evaluating the Effect of Homicide Prevention Strategies in São Paulo, Brazil: A Synthetic Control Approach" (2016)
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
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