Causal Inference
SkillMediaDesign, 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.
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Causal Inference skill
What this skill tells your AI
The instructions your AI receives, as published by brycewang-stanford/auto-empirical-research-skills in skills/64-tmonk-mcp-stata/skills/stata-causal-inference/SKILL.md and read by ahel’s review.
Use this skill when the question is causal, not merely predictive.
- Clarify the identification strategy.
- Check the right diagnostics and assumptions for the design.
- Separate point estimates from identification credibility.
Read references/designs.md for design-specific guidance.
Signals
- GitHub stars
- 4k
- Forks
- 531
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
stata-causal-inference- Source
- github.com/brycewang-stanford/auto-empirical-research-skills