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ectj-data-analysis
Use when designing or auditing The Econometrics Journal (EctJ) Monte Carlo simulations, empirical applications, estimator comparisons, robustness checks, computation, seeds, and applied-value evidence.
The-Econometrics-Journal-Skills/skills/ectj-data-analysis/SKILL.md
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# EctJ Data Analysis
Use this when the method has to prove both statistical behavior and empirical usefulness.
## Analysis checks
- Keep Monte Carlo evidence focused. RES guidance asks that simulation results be summarized
compactly in the main text; use the supplement for details.
- Include an empirical application that demonstrates applied value, even for theory-heavy
work.
- Align simulations with the assumptions and failure modes from the theory section.
- Compare against credible econometric alternatives, not only simplified baselines.
- Report sample sizes, data-generating processes, tuning, seeds, software versions, runtime,
and convergence or failure diagnostics.