00.2 Full Empirical Analysis Skill Stata
🤖 AI Summary
This skill executes a complete causal inference and econometric analysis pipeline in Stata, handling everything from data cleaning through advanced panel estimators (DiD, RDD, IV, synthetic control) to publication-ready coefficient plots and regression tables.
How to Install
Claude Code:
git clone --depth 1 https://github.com/brycewang-stanford/Auto-Empirical-Research-Skills.git && cp Auto-Empirical-Research-Skills/skills/00.2-Full-empirical-analysis-skill_Stata ~/.claude/skills/SKILL.md -r--- name: Full-empirical-analysis-skill-Stata description: Classical end-to-end empirical analysis workflow in the traditional Stata ecosystem — native Stata + reghdfe + ivreg2 + csdid + did_imputation + eventstudyinteract + sdid + rdrobust + rddensity + synth + synth_runner + psmatch2 + teffects + ebalance + coefplot + esttab + asdoc + binscatter. **Defaults to economics empirical-paper style** (
Details
| Category | AI/ML → ml |
| Source | brycewang-stanford/Auto-Empirical-Research-Skills |
| SKILL.md | View on GitHub → |
| Repo Stars | ★ 2.3K |
| Est. per Skill | N/A (shared across 131 skills from this repo) |
| Difficulty | Intermediate |
| Risk Level | N/A |
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Docs
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