Design, run, and critique causal inference workflows in Stata. Use when the user is working on identification, treatment effects, DiD, IV, event studies, RD, or assumption-sensitive empirical claims.
Scanned 9/3/2026
Install to Claude Code
npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill stata-causal-inference --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: stata-causal-inference
description: Design, run, and critique causal inference workflows in Stata. Use when the user is working on identification, treatment effects, DiD, IV, event studies, RD, or assumption-sensitive empirical claims.
---
# Causal Inference
Use this skill when the question is causal, not merely predictive.
1. Clarify the identification strategy.
2. Check the right diagnostics and assumptions for the design.
3. Separate point estimates from identification credibility.
Read `references/designs.md` for design-specific guidance.
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