Agent Skillsbrycewang-stanford/Awesome-Journal-Skills › jape-contribution-framing

jape-contribution-framing

GitHub

指导如何为《应用计量经济学杂志》(JAE) 撰写贡献陈述,强调基于真实数据的可复制实证研究。校准主张强度以匹配设计,确保100字摘要无引用且清晰,并符合期刊对应用性和复现性的要求。

Journal-of-Applied-Econometrics-Skills/skills/jape-contribution-framing/SKILL.md brycewang-stanford/Awesome-Journal-Skills

Trigger Scenarios

撰写或精炼JAE论文的贡献段落和100字摘要 根据设计和数据决定主张的强度 调整表述以契合JAE的应用与可复制定位

Install

npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jape-contribution-framing -g -y
More Options

Non-standard path

npx skills add https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/Journal-of-Applied-Econometrics-Skills/skills/jape-contribution-framing -g -y

Use without installing

npx skills use brycewang-stanford/Awesome-Journal-Skills@jape-contribution-framing

指定 Agent (Claude Code)

npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jape-contribution-framing -a claude-code -g -y

安装 repo 全部 skill

npx skills add brycewang-stanford/Awesome-Journal-Skills --all -g -y

预览 repo 内 skill

npx skills add brycewang-stanford/Awesome-Journal-Skills --list

SKILL.md

Frontmatter
{
    "name": "jape-contribution-framing",
    "description": "Use when framing the headline contribution of a Journal of Applied Econometrics (JAE) manuscript — as an empirical application on real data whose results are replicable, rather than a pure-theory advance. Calibrates claims to what the data and design support and compresses into the 100-word summary."
}

Contribution Framing for JAE (jape-contribution-framing)

When to trigger

  • Writing or sharpening the contribution paragraph and the 100-word summary
  • Deciding how strongly to claim, given the design and the real data
  • Aligning the framing with JAE's applied, replicable identity

Frame the contribution the JAE way

JAE rewards a contribution that is an application on real data with replicable results: here is a substantive question, here is a credible empirical strategy applied to real data, here is what we find, and every number can be regenerated from the data and code we deposit. Acceptable types:

  • A new empirical finding on an economic question via a credible design;
  • A methodological application — adapting or stress-testing a technique on real data, with the application (not the theorem) as the contribution;
  • A replication that confirms, qualifies, or overturns published results (Replication Article track).

Pure theoretical novelty ("we prove a new asymptotic result") is not the JAE contribution; if you have method development, frame the real-data demonstration as the payoff.

Calibrate the claim

Applied-econometrics referees punish over-claiming. The contribution must not exceed what the design and data support — distinguish association from causal effect, note external-validity limits, and let replicability carry weight: a modest reproducible finding beats an overclaimed fragile one.

Fit the 100-word summary

The contribution must compress into a summary of ≤ 100 words containing no citations, understandable on its own (see jape-writing-style). Draft the one-sentence contribution first, expand into the summary, then back-check against the results.

Desk-level signals the JAE editor screens for

Before any referee sees the paper, the editorial screen looks for the venue's identity markers. Put them where they are found fast:

Signal Where it must appear Risk if missing
Real data named (source, span, frequency, N) First two pages Read as a theory paper mis-sent to an applied journal
Econometric lesson (when/why the method matters here) Contribution paragraph "Estimator demo without an applied payoff"
Replication commitment (deposit to the JAE Data Archive) Intro or data section Doubt about reproducibility — fatal at this venue
Claim calibrated to design (causal vs. associational) Contribution paragraph Over-claiming flag from applied-econometrics referees

Worked vignette: framing an exchange-rate pass-through paper

Illustrative numbers only. Draft claim: "We show import prices respond incompletely to exchange rates." Too thin for JAE. Reframed: "Using monthly import-price micro data on 1,900 product lines (2002–2023), we estimate 12-month pass-through of 0.31 (HAC s.e. 0.06) — roughly half the aggregate consensus — and show the gap closes once invoicing-currency composition is held fixed; all series and programs will be deposited in the JAE Data Archive." This names the data, the inference, the quantitative finding, the econometric lesson (aggregation bias in pass-through regressions), and the replication hook — the elements a JAE contribution paragraph carries.

Referee pushback on claims — venue-grade fixes

  • "This is just estimator X applied to dataset Y." → State what the application teaches: a conclusion that flips, an inference pitfall exposed, a method stress-tested where its assumptions actually bind, and why the lesson travels beyond this one dataset.
  • "Causal language outruns the design." → Downgrade the verbs or add the design-based test; never argue rhetoric at JAE — add a reproducible diagnostic instead.
  • "Why JAE and not a field journal?" → If deleting the methods section would leave the paper readable, the econometric lesson is missing; sharpen it before resubmitting anywhere.

Calibration: accepted-paper contribution texture

Hedged from public JAE issues rather than internal data: accepted papers tend to state the contribution within the first two pages, quantify the headline estimate with its standard error early, and spend a sentence on portability — why the approach generalizes past this application. Confirm current scope wording against the journal's author guidelines.

Output format

【Type】new finding / method application / replication
【Claim】associational / causal — matches design? [Y/N]
【Replicable hook】stated? [Y/N]
【Summary fit】≤100 words, no citations, self-contained? [Y/N]
【Lesson】econometric takeaway travels beyond this dataset? [Y/N]

Supplementary resources

Version History

  • 1839142 Current 2026-07-05 13:25

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