Individual skill
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.
Journal-of-Business-and-Economic-Statistics-Skills/skills/jbes-topic-selection/SKILL.md
Source commit 932eb23331721b16e967c59f093781be1928b498
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 1,405
- Repository last updated
- Sep 27, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- academic-writing Repository topic
- agent-skills Repository topic
- journal Repository topic
- academic-research Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- awesome-list Repository topic
- claude Repository topic
- claude-code Repository topic
- economics Repository topic
- data Derived category
- testing Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 5,528 bytes
Read excerpt
# 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.