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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Nov 2, 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.
Stata-aligned econometrics for Python, with field-level validation across the documented support surface.
difference-in-differences in Python
Evidence-first AI workflow for economic and financial research: literature → identification → data → econometrics → verifiable LaTeX. 43 data sources, 58 method modules, 18 AI skills, 30 journal templates.
Step-by-step causal inference — method selection, assumptions, and robustness checks
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。
Modern difference-in-differences in Python.
Causalis - State-of-the-art robust causal inference for experiments and observational data in python
DeepEcon: Your one-stop Python package for econometric algorithms.
Code and frozen data for a pre-registered LLM-judge audit, with exploratory analysis of spurious DiD effects from bounded ratings. NeurIPS 2026 NewInML Workshop · arXiv:2608.27309
Agent skills for experiment design, causal inference, and statistical review. One install, adapts to your level.
📊 EconKit — 一站式计量经济学实证分析工具 | All-in-one Econometrics Toolkit for Chinese Economics Students. DID/PSM/RDD/IV/FE/GMM, parallel trends, placebo tests, PDF report. No code needed.
Accelerate autoregressive image generation with Locality-aware Parallel Decoding (LPD). Explore our code and models on GitHub! 🚀🌟
Causal effect of contractionary US monetary policy shocks on US employment.
A Codex research skill for human–agent DiD design, Lean-checked comparisons, and a verified staggered simulation.
End-to-end incrementality sandbox on M5-style retail data (DiD + Synthetic Control + placebo tests) with Streamlit dashboard.
From idea to referee-ready: literature L0 + spec funnel + crosscheck (R/Python/Stata) + design lint + tables + 11-step econ-pipeline with number/format audits. Two human gates, stop-on-failure, CI mode.
Difference-in-differences analysis of minimum wage effect on leisure & hospitality employment (TWFE, Callaway-Sant'Anna)
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