ecta-robustness
Use when an Econometrica manuscript needs finite-sample evidence and edge-case scrutiny — Monte Carlo design, finite-sample performance, regularity-condition stress tests, and degenerate cases. Designs and audits the simulation evidence; it does not derive the asymptotics (use ecta-identification) or format the resulting tables (use ecta-tables-figures).
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ecta-robustness --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.
# Monte Carlo and Finite-Sample Evidence (ecta-robustness) ## When to trigger - The paper reports asymptotic theory but contains **no finite-sample (Monte Carlo) check** - Coverage / size / power of a proposed test or interval is claimed but never simulated - You have not probed where the regularity conditions bind or where the method breaks - A theory result needs numerical illustration of comparative statics or equilibrium behavior For methods papers, asymptotics without finite-sample evidence is a standard rejection reason. The Monte Carlo is not decoration — it is how the reader learns whether the asymptotic approximation is usable at realistic sample sizes. **Econometrica-specific:** simulation results fall *inside* the Econometric Society Data and Code Availability Policy (which covers "empirical, experimental, **and/or simulation** results"). The ES **Data Editor** will run a pre-acceptance reproducibility check on your Monte Carlo, so every table must regenerate bit-for-bit from seeded code (see `ecta-replication-package`). This is a sharper bar than at applied siblings where simulation appendices are rarely re-run. A pure-theory paper with no simulations is *exempt* from t
- When to trigger
- Designing the Monte Carlo
- What to report
- Regularity and edge-case stress tests
- For theory papers
- Execution bridge (StatsPAI / Stata MCP)
- Checklist
- Anti-patterns
- Output format
What does the ecta-robustness skill do?
Use when an Econometrica manuscript needs finite-sample evidence and edge-case scrutiny — Monte Carlo design, finite-sample performance, regularity-condition stress tests, and degenerate cases. Designs and audits the simulation evidence; it does not derive the asymptotics (use ecta-identification) or format the resulting tables (use ecta-tables-figures).
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill ecta-robustness --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.