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.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill rje-data-analysis --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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. - **Economic sanity:** elasticities, markups, and marginal costs in plausible ranges; own-price elasticities negative and large enough for positive markups. - **Identification-in-practice:** show which moments move which parameters (sensitivity / informativeness of moments). - **Counterfactuals:** state maintained assumptions (e.g., fixed product set, conduct unchanged), report them as ranges/bounds, a
- When to trigger
- Analysis norms at the IO flagship
- Structural work
- Reduced-form work
- Inference (both)
- Robustness suite to stage
- Page-cap discipline
- Diagnostic triage table (structural estimates that IO referees flag)
- Worked vignette: validating a merger simulation
- Referee-pushback patterns and the venue fix
- Execution bridge (StatsPAI / Stata MCP)
- Anti-patterns
- Output format
What does the rje-data-analysis skill do?
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.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill rje-data-analysis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.