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Full-empirical-analysis-skill-Stata

Agent skill frombrycewang-stanford/Auto-Empirical-Research-Skills

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** (AER / QJE / AEJ) — every run produces a publication-ready output set with a multi-column regression table (M1→M6 progressive controls/FE) as the centerpiece, plus Table 1 (descriptives), mechanism / heterogeneity / robustness tables, and event-study + coefficient + trend figures. Covers the full 8-step Stata pipeline an applied economist runs on every paper — (1) data import & cleaning (use/import, destring, misstable, duplicates, merge assert), (2) variable construction (gen/egen/winsor2/xtile/xtset with L./F./D.), (3) descriptive statistics & Table 1 (tabstat/balancetable/asdoc), (4) classical diagnostic tests (sktest/swilk/hettest/imtest/xtserial/x

How to install Full-empirical-analysis-skill-Stata

install Full-empirical-analysis-skill-Stata
# install the Auto-Empirical-Research-Skills pack with the skills CLI
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills

# or add only this skill to Claude Code: copy the folder

skills/00.2-Full-empirical-analysis-skill_Stata/

# into

~/.claude/skills/00.2-Full-empirical-analysis-skill_Stata/ (all projects)

.claude/skills/00.2-Full-empirical-analysis-skill_Stata/ (one project)

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