GV

GeezerVison

The World Wide Web, restored to 800 pixels of glory.

Home|About|Gaming cabinet|Archives|How it works|Starter sites

On this site

  • Sign in
  • ActionsCI/CD and automation
  • CodespacesCloud development environments
  • All Features
  • Documentation
  • Training
  • Certifications
  • Build with Copilot
  • Customize Copilot
  • Integrations
  • Trending repos
  • GitHub Sponsors
  • Developer articles
  • Enterprises

This view

  • Original page
  • New address

GeezerVison is showing github.com — brycewang-stanford - Overview

@brycewang-stanford brycewang-stanford Follow
More
  • Overview
  • Repositories
  • Projects
  • Packages
  • Stars
@brycewang-stanford
brycewang-stanford
Follow
View brycewang-stanford's full-sized avatar

brycew6m brycewang-stanford

Follow
[email protected]
365 followers · 5 following

Achievements

Achievement: Starstruckx4Achievement: Pair Extraordinairex3Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLO

Achievements

Achievement: Starstruckx4Achievement: Pair Extraordinairex3Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLO

Highlights

  • Pro
More
  • Overview
  • Repositories
  • Projects
  • Packages
  • Stars
brycewang-stanford/README.md

Bryce Wang: agent-native infrastructure for empirical research. A terminal runs a Callaway-Sant'Anna event study with StatsPAI and the chart draws itself.

StatsPAI  ·  Docs  ·  JOSS paper  ·  [email protected]

I build the layer between coding agents and empirical research: estimators with machine-readable schemas, a bridge that lets agents drive Stata, and skill libraries that take an agent from raw data to a reproducible paper. Data Scientist at Stanford REAP and author of StatsPAI.

The chart in the banner is real output. Reproduce it.

It is a Callaway–Sant'Anna event study on the mpdta replica bundled with StatsPAI: flat pre-trends, then a negative employment effect once the minimum wage rises.

import statspai as sp

mp = sp.datasets.mpdta()
gt = sp.callaway_santanna(data=mp, y="lemp", t="year", i="countyreal", g="first_treat")
sp.aggte(gt, type="dynamic").plot()

Flagship

StatsPAI: agent-native Python library for causal inference and applied econometrics

pip install statspai

More open source

stata-code: agent-native Stata bridge Auto-Empirical-Research-Skills: 23,000+ agent skills for empirical research Awesome-Journal-Skills: journal-specific skill packs Auto-Research-Skills: autonomous-research skills and agents AER-Skills: skill stack for publishing in the AER Paper-WorkFlow: from research idea to submission-ready empirical paper


A pixel dinosaur runs and jumps over cacti labelled endogeneity, weak instruments, pre-trends and p-hacking

Pinned Loading

  1. StatsPAI StatsPAI Public

    StatsPAI is an Agent-native Python library for causal inference and applied econometrics — unified API, broad cross-method coverage, structured result objects, machine-readable schemas, Skills, an …

    Python 373 76

  2. Auto-Empirical-Research-Skills Auto-Empirical-Research-Skills Public

    🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI 20分钟完成一篇可复现的规范实证论文,并支持用户上传 Skills。-- …

    Stata 5k 576

  3. stata-code stata-code Public

    Agent-native Stata bridge for empirical research — run DiD/IV/RDD and publication-ready tables from Claude Code, Jupyter, or VS Code on one token-economy result schema, with StatsPAI cross-validati…

    Python 55 7

  4. Awesome-Journal-Skills Awesome-Journal-Skills Public

    Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的 Claude Code/Codex 期刊技能…

    Stata 1.4k 174

  5. AER-Skills AER-Skills Public

    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 agen…

    Python 62 11

  6. Paper-WorkFlow Paper-WorkFlow Public

    经管/社科实证论文 · 从一句话 idea 到可投稿全文的 AI 全流程总编排器 — an end-to-end meta-orchestrator that turns a research idea into a submission-ready empirical paper.

    Python 50 6

Something went wrong, please refresh the page to try again.
If the problem persists, check the GitHub status page or contact support.

Uh oh!

There was an error while loading. Please reload this page.

You are visitor 01402503 — GeezerVison does not store the pages you look up.
Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800×600. No cookies required.