Agent Skills
› brycewang-stanford/Awesome-Journal-Skills
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jole-contribution-framing
GitHub用于提炼JOLE论文边际贡献，面向广义劳动经济学受众。通过明确新答案、事实或机制，构建精炼的引言陈述，确保结论校准且具外部相关性，避免过度宣称。
Trigger Scenarios
审稿人难以快速识别论文对劳动经济学的增量贡献
仅有回归系数缺乏明确的经济学含义
贡献被夸大或低估
需要为引言和投稿信撰写核心贡献陈述
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jole-contribution-framing -g -y
SKILL.md
Frontmatter
{
"name": "jole-contribution-framing",
"description": "Use when articulating what is new in a Journal of Labor Economics (JOLE) manuscript for a general labor-economics audience — the marginal contribution, the labor lesson, and why a labor economist outside the subfield should care. Frames the pitch; it does not run analysis."
}
Contribution Framing (jole-contribution-framing)
When to trigger
- A referee or reader cannot quickly say what the paper adds to labor economics
- The result is "a coefficient" with no articulated lesson
- The contribution is over-claimed (global statement from a local estimate) or under-claimed (real lesson buried)
- You need a one-paragraph "what's new for labor" statement for the intro and cover letter
What "contribution" means at JOLE
JOLE is a general-interest labor-economics journal published for the Society of Labor Economists (SOLE), so the contribution must register with labor economists beyond your own subfield, not only with specialists on your exact policy or dataset. A JOLE contribution typically takes one of these shapes:
- A new credible answer to a first-order labor question (e.g., a returns-to-X, a labor-supply elasticity, an effect of an institution) where prior estimates were not well identified.
- A new fact about the labor market made possible by novel or newly linked data (e.g., firm–worker registers, administrative earnings), disciplined against measurement error.
- A new mechanism distinguishing between competing labor-economic explanations (e.g., taste-based vs. statistical discrimination; human capital vs. signaling).
- A theoretical advance with a labor-economic payoff (a model that reorganizes how we interpret a body of labor evidence).
The marginal contribution must be calibrated: it should match exactly what the design and sample support, because JOLE's word economy (~20,000 words) and single-blind labor referees both punish padding and over-claiming.
Framing the contribution
- One-sentence claim. "We show that [margin] responds to [variation] by [magnitude], implying [labor lesson]." If you cannot fill the blanks, the contribution is not yet sharp.
- Against the frontier, not a survey. Name the two or three closest papers and say precisely what you add (better identification, new data, new mechanism, new population) — this hands off to jole-literature-positioning.
- External relevance. State what a labor economist studying a different country/policy/firm learns from your result.
- Scope discipline. A clean local estimate (one reform, one register) is a strength; do not inflate it into a universal structural parameter without support.
- Theory vs. empirics. If the paper is theoretical, the contribution is the labor insight, not the math; if empirical, it is the identified answer or fact, not the regression count.
Checklist
- One-sentence contribution with margin, variation, magnitude, and lesson
- Registers with labor economists outside your subfield
- Positioned against the 2–3 closest labor papers, not a literature survey
- External relevance ("beyond this setting") stated
- Claim is calibrated to what the design/sample supports — no global-from-local leap
- Fits the word economy (the contribution is one paper, not three)
Anti-patterns
- "We are the first to study X" with no statement of the labor lesson
- A local estimate sold as a universal parameter
- A contribution only specialists on your exact dataset would notice
- Listing what you did (regressions, robustness) instead of what you learned
- A theory paper framing the math as the contribution rather than the labor insight
- Over-claiming that a single referee will puncture in one line
Output format
【Contribution type】new answer / new fact / new mechanism / theory advance
【One-sentence claim】margin + variation + magnitude + lesson:
【Closest papers】[2–3] — what we add vs. each:
【External relevance】beyond this setting:
【Calibration】claim matches design/sample? [Y/N]
【Next step】jole-tables-figures or jole-writing-style
Version History
- 1839142 Current 2026-07-05 13:44
