Individual skill
io-data-analysis
Use when executing and reporting the empirical analysis (or the formal-model results) for an International Organization (IO) manuscript so it survives expert double-blind IR review and IO's pre-publication verification. The IO editorial staff re-run quantitative analyses and check formal proofs before final acceptance, and IR data raise distinctive estimation problems (dyadic dependence, selection into treaties/alliances/conflict, gravity structure). Guides analysis and reporting; it does not fabricate results.
International-Organization-Skills/skills/io-data-analysis/SKILL.md
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# Data Analysis (io-data-analysis)
Two facts shape how you analyze for IO. First, IO publishes **international-relations** work, so the
estimation problems are IR-specific — dyads are not independent, states select into treaties and wars,
trade follows a gravity structure, and many "variables" are estimated constructs. Second, IO's editorial
staff later **re-run your quantitative analyses and verify your formal proofs before final acceptance**
(see `io-transparency-and-data-policy`). This skill covers execution and reporting; identification choices
live in `io-research-design`.
## When to trigger
- Estimating the main international effect and supporting analyses; writing the results section
- A referee asked for robustness, heterogeneity by issue area, or an alternative estimator
- Deriving and presenting the results/comparative statics of a formal model