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, an MCP server, and R/Stata parity validation.

Estimation for sharp regression discontinuity designs.

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。

Lecture slides, video recordings, and coding exercises from the 2024 Northwestern University Causal Inference Workshop. This repository is not affiliated with Northwestern University or the workshop.

This repository reproduces the analysis from Government Transfers and Political Support by Manacorda, et al. (2011), using regression discontinuity (Difference-in-Differences) to explore the impact of Uruguay's PANES cash transfer program on political support with robustness checks, and visualizations.

📊 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.

Implementation of Van Dijcke, David. "Regression Discontinuity Design with Distribution-Valued Outcomes." Manuscript.

Code analysis for "Impact of intensified control strategies on incidence of visceral leishmaniasis in a highly endemic district of Bihar, India: an interrupted time series analysis" Kumar, Siddiqui, Pollington et al.

Packages to estimate Multidimensional Regression Discontinuity (MDRD), Difference-in-Discontinuity (DiD), Conditional Regression Discontinuity (CRDD), and Difference-in-Slope (DiS)

Statistical Evaluation Methods

Replication code for SUREP research paper on women's autonomy and maternal health outcomes using DHS survey data and regression discontinuity design — Nigeria

The code for an analysis of the effect of Title IX on later-life health behaviors, as well as the output graphs.

An adversarial AI referee for empirical economics: finds p-hacking, cherry-picking and specification search, then re-runs the result.

Tareas del curso Ciencia de los Datos — econometría aplicada y análisis causal | MDS UChile

A Regression-Discontinuity Analysis replication & extension of landmark study: "Do Voters Affect or Elect Policies? Evidence from the U. S. House" by Lee, Moretti, & Butler (2004). We seek to not only replicate their findings but offer an improvement as well. Final Project for Minerva CS112. Grade: A+

We play bank data scientist and use regression discontinuity to see which debts are worth collecting.

Regression discontinuity experiments with Google Trends data

Jupyter notebooks for causal inference and policy analysis. Rigorous implementations of difference-in-differences, synthetic control, RDD, and heterogeneous treatment effects with federal policy evaluation standards. Open-source showcase of KRL platform methods.

Descriptive stats and visuals, regression analysis of redlining, and regression discontinuity analysis of CRA.

Government visibility and redistribution preferences