qe-contribution-framing
GitHub用于精炼定量经济学论文的单一句子贡献陈述，确保一般读者能立即看到量化收益。聚焦于明确问题、量化结果及启示，区分于纯方法论，并严格界定结论范围与不确定性。
Trigger Scenarios
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill qe-contribution-framing -g -y
SKILL.md
Frontmatter
{
"name": "qe-contribution-framing",
"description": "Use to sharpen the one-sentence contribution of a Quantitative Economics (QE) manuscript so a general-interest Econometric Society reader sees the quantitative payoff immediately. Frames the claim and its scope; it does not redo estimation or write full prose."
}
Contribution Framing (qe-contribution-framing)
When to trigger
- The "so what?" of the paper is not crisp in one sentence
- Reviewers (or co-authors) disagree about what the paper's main point actually is
- The contribution is described as a method or a dataset rather than as an answer
- The claim's scope (what it does and does not establish) is blurry
Framing the QE contribution
QE publishes papers that apply quantitative methods to substantive economic questions, so the contribution should be framed as a quantitative answer, not as machinery. A QE-fit contribution sentence names three things: the question, the quantity you deliver (an estimate, a counterfactual, a welfare number, a measured fact), and the lesson that travels beyond the setting. Frame against the Econometric Society lens: if the only honest framing is "we propose a new estimator," the paper belongs at Econometrica; QE wants "using [method], we answer [question] and find [quantity], which implies [lesson]."
Match the framing to the paper type:
- Structural/computational: the contribution is usually a counterfactual or welfare quantity the model identifies, plus the credibility of the estimated parameters behind it.
- Empirical (applied micro/finance): the contribution is a credibly identified magnitude and what it teaches about the mechanism.
- Experimental: the contribution is a causal quantity or parameter the design pins down, plus its discipline on theory.
- Simulation/measurement: the contribution is a newly quantified object and the method that makes it measurable.
Scope discipline (QE rewards calibrated claims)
State plainly what the result does establish (the estimand, the population, the assumptions) and what it does not (external validity limits, identifying assumptions that could fail, computational approximations). Because QE forbids significance asterisks and asks for standard errors and coverage sets, frame the contribution with its uncertainty attached, not as a point claim.
Checklist
- One-sentence contribution names question + quantity + lesson
- The quantity (estimate / counterfactual / welfare / measured fact) is explicit and carries uncertainty
- Framed as an answer, not as "a method" or "a dataset"
- Scope stated: estimand, population, key assumptions, what is NOT claimed
- The "why QE, not Econometrica/TE" cut is visible in the framing
- No over-claiming beyond what the design/estimation supports
Anti-patterns
- "We build a model / collect a dataset" framed as the contribution, with no answer
- A contribution sentence with no number and no scope
- Over-claiming a local estimate or a calibrated counterfactual as a universal law
- Method-first framing that really belongs at Econometrica
- Hiding identifying assumptions or computational approximations from the claim
What a QE handling coeditor weighs in the claim
The general-interest Econometric Society readership wants the payoff, not the plumbing. Grade a candidate contribution sentence against this table.
| Framing pattern | Coeditor reading | Verdict at QE |
|---|---|---|
| "We estimate [parameter] and find a welfare gain of [number]" | quantity-first, answer travels | strong fit |
| "We measure [object] previously assumed, getting [magnitude, s.e.]" | a fact the field lacked | strong fit |
| "We propose a new [estimator]" with a toy application | machinery, not an answer | Econometrica lane |
The most common desk-reject framing is the method-as-contribution sentence: a computational or inference device with no economic quantity attached. Re-anchor it on the number the method delivers.
Worked vignette: a dynamic retirement model (illustrative)
A paper estimates a dynamic model of retirement timing and evaluates raising the early-claiming age. Machinery-first framing: "We solve a dynamic program with a nested fixed-point estimator." A QE-fit rewrite names question + quantity + lesson: "Raising the early eligibility age by two years cuts early claiming by 14 percentage points (s.e. 3) and raises lifetime benefits 6% on average, but the gains are regressive — a margin reduced-form work leaves unquantified." (Numbers illustrative.) The rewrite carries uncertainty, states the policy quantity, and flags the distributional lesson; the estimator becomes a credibility footnote, not the headline.
Referee pushback and the framing fix
- "This reads like a methods paper; where is the question?" → Lead with the counterfactual or estimand; demote the algorithm to a credibility clause.
- "The contribution is just a number for one sample." → Add the scope clause: the estimand, the population it generalizes to, what it overturns.
- "You claim more than the design supports." → Attach the uncertainty and the explicit "does NOT establish" line.
Output format
【One-sentence contribution】question + quantity + lesson
【Quantity type】estimate / counterfactual / welfare / measured fact (+ uncertainty)
【Scope — establishes】estimand / population / assumptions
【Scope — does NOT establish】[...]
【QE fit】answer-first, not method-first? [Y/N]
【Next step】qe-identification-strategy
Version History
- 1839142 Current 2026-07-05 14:17
