maxwell2732

maxwell2732 / codex-stata-for-economists

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A Codex Stata pipeline for Economists by 朱晨 | 遗传社科研究

21
24
100% credibility
Found May 03, 2026 at 20 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Stata
AI Summary

A template providing a structured, reproducible workflow for empirical economic research using Stata, including data handling, analysis stages, teaching examples, and quality assurance scripts.

How It Works

1
🔍 Find the Guide

You discover this helpful template designed for economists to manage data analysis projects smoothly and reliably.

2
📥 Get Your Copy

You download and set up your own version of the project on your computer, ready to customize.

3
📁 Add Your Data

You place your raw dataset into the protected folder where it's kept safe and organized.

4
💬 Request Analysis

You simply describe the stats, charts, regressions, or models you need, and the built-in helper generates the perfect steps for your work.

5
▶️ Run the Process

With one easy launch, the entire workflow cleans your data, builds variables, runs analyses, and creates outputs automatically.

6
📊 See Beautiful Results

You get professional-looking tables, graphs, and reports that capture your findings clearly and accurately.

✅ Share Confidently

Your research is now fully reproducible, verified by logs, and protected, so you can share it without worries.

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AI-Generated Review

What is codex-stata-for-economists?

This repo provides a forkable Stata pipeline for economists, turning raw .dta files into reproducible analyses: data cleaning, variable construction, regressions (OLS, IV, logit), tables, plots, and Quarto reports. Prompt Codex via chatgpt codex stata integration to auto-generate commented do-files, then run the full workflow with bash scripts for logged execution. It solves messy, non-reproducible econ projects by enforcing relative paths, seeds, gitignores, and output validation.

Why is it gaining traction?

Built-in Codex GitHub integration acts like a copilot for stata code review, generating skills for common econ tasks while hooks block data leaks and score quality pre-commit. Reproducibility checks diff outputs after clean runs, and a sandbox isolates teaching demos from production. Economists notice instant publication-style tables/figures without starting from scratch.

Who should use this?

Empirical economists or PhD students running Stata for wages-education regressions, panel data, or IV setups, especially those experimenting with Codex GitHub actions, plugins, or issues for AI-assisted pipelines. Suited for faculty building teaching flows or researchers needing logged traceability before journal submissions.

Verdict

Promising Codex stata pipeline for economists despite low maturity—18 stars, 1.0% credibility score, and strong docs but no broad tests. Fork and validate on your data if AI-boosted reproducibility fits your workflow.

(187 words)

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