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stata-causal-inference

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.

Published by brycewang-stanford ↗brycewang-stanford/Auto-Empirical-Research-Skills

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stata-causal-inference

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Use stata-causal-inference to assess the identification strategy for [causal question] using [dataset/design], including key assumptions, diagnostics, and the distinction between estimates and credibility.

Required inputs

  • [causal question]
  • [dataset/design]

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SKILL.md

name: stata-causal-inferencedescription: 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.