Stata Empirical Analysis

Stata Empirical Analysis is a Data skill for Claude Code, published by brycewang-stanford in Auto-Empirical-Research-Skills.

3.4K stars445 forkson brycewang-stanford/Auto-Empirical-Research-SkillsAdded 2026/08/16+1% in starsRepository updated 2026/08/10

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academic-researchagent-skillsai-agentawesome-listcommunicationcopapereconomicseducationempirical-researchinternational-relationspolitical-sciencepsychologypublic-administrationreproducible-researchskills-librarysocial-sciencesociology

Install in seconds

Install Stata Empirical Analysis

Copy Stata Empirical Analysis into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills/tree/main/skills/00.2-Full-empirical-analysis-skill_Stata ~/.claude/skills/00.2-Full-empirical-analysis-skill_Stata

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/00.2-Full-empirical-analysis-skill_Stata/SKILL.md in brycewang-stanford/Auto-Empirical-Research-Skills
Installs to: ~/.claude/skills/00.2-Full-empirical-analysis-skill_Stata
Collection: One of 25 skills cataloged from this repository
Category: Data — 668 skills

What Stata Empirical Analysis does

Stata Empirical Analysis provides a complete 8-step pipeline for econometric and causal inference in Stata, covering data cleaning, variable construction, diagnostics, estimation (DID, IV, RD, matching), robustness checks, and publication-ready tables and figures. Use it when you need reproducible .do-file workflows for academic empirical papers.

Stata Empirical Analysis is cataloged under Data on DirSkills. Stata Empirical Analysis comes from a repository tagged academic-research, agent-skills, ai-agent, awesome-list and communication.

Documentation

README

Excerpt

Full Empirical Analysis — Classical Stata Workflow

This skill is the canonical 8-step pipeline an applied economist runs on every empirical paper, written in the traditional Stata ecosystem — native Stata + the 20+ community commands that have become de-facto standards (reghdfe, ivreg2, csdid, did_imputation, eventstudyinteract, sdid, rdrobust, rddensity, synth, synth_runner, psmatch2, teffects, ebalance, coefplot, esttab, outreg2, boottest, ritest, rwolf, bacondecomp, honestdid, binscatter).

This is the opening of the README. Read the full README on GitHub.

Commands Stata Empirical Analysis provides

Slash commands named in this skill’s SKILL.md, listed in the order they first appear.

/duplicate

Frequently asked about Stata Empirical Analysis

What else does brycewang-stanford publish alongside Stata Empirical Analysis?
Stata Empirical Analysis is one of 25 skills that DirSkills catalogs from brycewang-stanford/Auto-Empirical-Research-Skills, the repository it ships in. Its siblings there include Academic Paper Composer, Academic Proofreader and Auto-Empirical Research. Each one is a separate skill with its own page in this directory, installs the same way Stata Empirical Analysis does, and is maintained by brycewang-stanford in that same repository. The rest of the collection is listed on the brycewang-stanford/Auto-Empirical-Research-Skills page.
How does Stata Empirical Analysis compare to other Data skills?
Stata Empirical Analysis ranks #207 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Stata Empirical Analysis against them. Open each page to compare what they document and how they install.