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rje-data-analysis

Use when executing and stress-testing the empirical analysis for a RAND Journal of Economics (RJE) industrial-organization manuscript — estimating structural demand/supply, entry, auction, or reduced-form models, then running the robustness, counterfactual, and inference checks IO referees expect. Analysis discipline, not study design.

RAND-Journal-of-Economics-Skills/skills/rje-data-analysis/SKILL.md

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# Data Analysis & Robustness (rje-data-analysis)

## When to trigger

- Estimates are in hand and you need the robustness suite IO referees demand
- A structural counterfactual needs validation before it goes in the article
- You must report inference correctly for market-level / clustered data

## Analysis norms at the IO flagship

RJE referees apply **industrial-organization empirical norms**. Whether the work is structural or reduced-form, the analysis must show the estimates are **credible, well-behaved, and economically sensible**, and that **counterfactuals are disciplined** by the model.

### Structural work
- **Estimation diagnostics:** report objective-function value, convergence, and sensitivity to **starting values** (non-convex objectives); use multiple starts and report them.