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Designs, runs, and critiques causal inference workflows in Stata for identification strategies, treatment effects, DiD, IV, event studies, RD, and assumption-sensitive empirical claims.
How this skill is triggered — by the user, by Claude, or both
Slash command
/mcp-stata:stata-causal-inferenceThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Use this skill when the question is causal, not merely predictive.
Use this skill when the question is causal, not merely predictive.
Read references/designs.md for design-specific guidance.
npx claudepluginhub tmonk/mcp-stata --plugin mcp-stataGuides phased Stata workflows for DiD, IV, matching, panel methods, and more for publication-ready sociology research. Use for quantitative academic analysis.
Provides Stata reference for .do files, data management, econometrics, causal inference, graphics, Mata programming, and packages like reghdfe, estout, did, rdrobust. Aids writing, debugging, explaining code.
Guides through complete difference-in-differences analysis: setup, parallel trends testing, staggered rollout handling, robustness checks, and plain-language interpretation.