jbes-topic-selection
Use when deciding whether a project fits the Journal of Business & Economic Statistics (JBES) — the methods-with-empirics fit test. Checks methodological novelty plus clear empirical relevance before time is sunk; it does not develop the method itself.
Profile →npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jbes-topic-selection --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.
# Topic / Scope Fit (jbes-topic-selection) ## When to trigger - You are unsure whether a project is a JBES paper or belongs at an economics or pure-statistics journal - You have a method but no convincing empirical use, or an application but no methodological novelty - You want to confirm a machine-learning / data-science angle is in-scope before committing - A co-author proposes JBES and you need a scope sanity check ## The JBES scope bar: methods + empirics, together JBES publishes **high-quality methodological contributions** in statistics and econometrics oriented toward applications in **microeconomics, macroeconomics, business, and finance**. The defining filter is a **conjunction**, not a disjunction: 1. **Methodological novelty** — a new method, a genuine improvement to an existing one, a useful adaptation of a method from another field (**machine learning and data science are explicitly welcomed**), or a **computational** improvement that makes a method usable in practice. 2. **Clear empirical relevance** — even theoretical contributions are expected to matter for real applications, and a JBES paper **usually features a substantive empirical application**. A project with o
- When to trigger
- The JBES scope bar: methods + empirics, together
- Fit test (run before investing)
- Checklist
- Anti-patterns
- Worked vignette: three projects through the fit test
- Scope-misfit patterns (venue-specific fixes)
- Output format
What does the jbes-topic-selection skill do?
Use when deciding whether a project fits the Journal of Business & Economic Statistics (JBES) — the methods-with-empirics fit test. Checks methodological novelty plus clear empirical relevance before time is sunk; it does not develop the method itself.
How do I install it?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jbes-topic-selection --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.