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

data-science statistics analytics economics econometrics sensitivity-analysis causal-inference treatment-effects synthetic-control panel-data did event-study marketing-analytics survey-design difference-in-differences geo-experiments staggered-adoption parallel-trends

• Updated Nov 11, 2026
• Python

Predicts how news-driven supply-chain shocks ripple across S&P 500 stocks, with an event-study backtest and a hash-chained public prediction ledger. Built on MIT open-source SEC supply-graph code.

d3 python finance supply-chain gdelt sec-edgar event-study cloudflare-workers

• Updated Nov 12, 2026
• JavaScript

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。

python replication stata economics econometrics causal-inference synthetic-control academic-writing r-stats aer instrumental-variables event-study difference-in-differences regression-discontinuity aej llm agent-skills claude-code claude-skills american-economic-review

• Updated Jul 15, 2026
• Python

Popular Econometrics content with code; Simple Linear Regression, Multiple Linear Regression, OLS, Event Study including Time Series Analysis, Fixed Effects and Random Effects Regressions for Panel Data, Heckman_2_Step for selection bias, Hausman Wu test for Endogeneity in Python, R, and STATA.

python r stata econometrics statistical-tests ols ols-regression time-series-analysis event-study endogeneity random-effects-model fixed-effect-model hausman-test test-statistics heckman-2-step

• Updated Apr 22, 2021
• Stata

fast and flexible Difference-in-Differences

event-study difference-in-differences staggered-did

• Updated Oct 28, 2026
• R

AI-powered trading research platform. Test any idea on stocks, futures, and crypto with event studies, backtesting, and statistical validation. MCP server with 8 tools. pip install varrd.

python trading mcp cryptocurrency fintech stock-market quant quantitative-finance futures algorithmic-trading backtesting claude event-study statistical-testing trading-tools ai-tools openbb model-context-protocol mcp-server edge-discovery

• Updated Aug 31, 2026
• Python

Estimation of Difference-in-Differences Treatment Effects with Staggered Treatment Onset Using Heterogeneity-Robust Two-Way Fixed Effects Regressions

econometrics causal-inference event-study diff-in-diff difference-in-differences two-way-fixed-effects continuous-treatment staggered-onset extended-two-way-fixed-effects staggered-treatment continuous-treatment-diff-in-diff

• Updated Sep 26, 2026
• Stata

An Implementation of Parametric and Nonparametric Event Study

cran r r-package corporate-finance event-study

• Updated Nov 13, 2024
• R

archived : use csdid instead

stata event-study diff-in-diff event-study-analysis event-study-plots dynamic-effects

• Updated Mar 3, 2023
• HTML

Research code and data for an event-study analysis of stock-market responses to U.S. Supreme Court decisions.

finance reproducible-research market-research event-study supreme-court legal-informatics

• Updated May 14, 2017
• Jupyter Notebook

This repository introduces the event study model.

econometrics event-study

• Updated Sep 5, 2023
• Stata

Replication and analysis of album releases, streaming volume and US traffic fatalities

replication econometrics music-streaming event-study traffic-safety

• Updated Oct 31, 2026
• Python

Open Agent Skill for exploratory financial astrology event studies across investment assets

skills backtesting ai-agents event-study financial-astrology agent-skills hermetic-alpha

• Updated Jun 5, 2026
• Python

Polars event-study research for ES/NQ intraday futures: MSS, CISD, SMT, RSI/volume divergences, session/momentum/volume filters.

python parquet quantitative-finance futures algorithmic-trading event-study intraday-data polars smart-money-concepts market-structure es-futures nq-futures

• Updated Oct 5, 2026
• Python

GPU-accelerated R package for causal inference: Callaway-Sant'Anna, DIDmultiplegtDYN, fect, TestMechs, HonestDiD. 60x faster than reference on R backend; CUDA acceleration in development.

cuda econometrics gpu-computing r-package causal-inference panel-data event-study difference-in-differences

• Updated Oct 30, 2026
• R

可解释的A股短线事件研究工具：涨跌停事件表、时间序列验证、样本外纪律与条件组合检查

python time-series backtesting event-study a-share akshare quantitative-research limit-up

• Updated Aug 22, 2026
• Python

End-to-End Python framework reproducing Dolphin et al.'s (2026) grounded event extraction (from SEC 8-K filings) method. Extracts taxonomy-validated, quote-grounded event tags via LLMs, then proves economic significance through variance-standardized abnormal returns (SAR), Kruskal-Wallis tests, and bootstrap variance decomposition over CRSP data.

nlp machine-learning text-mining reproducible-research information-extraction fintech econometrics quantitative-finance knowledge-base event-extraction rejection-sampling sec-edgar event-study financial-economics grounding llm prompt-engineering llm-as-a-judge regulatory-filings 8-k-filings

• Updated Jul 18, 2026
• Jupyter Notebook

Live macro terminal: classifies the US economy into four regimes, scores recession odds, runs event studies and basket hedges. React, TypeScript and Vite on Vercel; FastAPI on Render; Python (pandas, scikit-learn, riskfolio-lib) over SQLite, refreshed by GitHub Actions from FRED, EODHD, Yahoo, Finnhub and NewsAPI. AI by Claude and Perplexity.

react python typescript sqlite scikit-learn pandas render fred portfolio-optimization quantitative-finance macroeconomics event-study vite github-actions fastapi vercel financial-dashboard anthropic-claude regime-detection recession-prediction

• Updated Nov 12, 2026
• Python

R package: crseEventStudy

finance r r-package financial-analysis event-study empirical-research

• Updated Feb 22, 2022
• R

End-to-end incrementality sandbox on M5-style retail data (DiD + Synthetic Control + placebo tests) with Streamlit dashboard.

python makefile experimentation causal-inference synthetic-control event-study marketing-analytics difference-in-differences streamlit incrementality polars

• Updated Dec 29, 2025
• Python