quantitative-economics
GitHub用于评估稿件是否适合定量经济学期刊,指导结构模型与数据结合的重构、方法严谨性检查及拒稿风险规避。
触发场景
安装
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill quantitative-economics -g -y
SKILL.md
Frontmatter
{
"name": "quantitative-economics",
"description": "Use when targeting Quantitative Economics (QE) or deciding whether a structural \/ quantitative manuscript fits this venue. Encodes the journal's fit, framing, method-and-evidence bar, house style, official-submission re-check, and desk-reject heuristics."
}
Quantitative Economics (quantitative-economics)
Journal positioning
Quantitative Economics is an Econometric Society open-access journal devoted to quantitative economics that combines structural and computational modeling with data. It publishes both methodological contributions and quantitatively rigorous applied work — the common thread is taking models seriously enough to confront them with data through estimation, calibration, or computation. What wins here is a paper where the economic model and the quantitative implementation are both first-rate. The readership is structural and quantitative economists across micro and macro who care about model-based inference.
This skill is a fit / venue-selection / re-framing tool. It does not replace the journal's current official submission guidelines. Before submitting, re-check the live author instructions on the Econometric Society / journal site and the submission system.
When to trigger
- The author names QE as the target venue.
- A structural / computational paper has a serious model-meets-data contribution and the author is choosing among quantitative venues.
- A reduced-form or theory paper has a strong quantitative-modeling extension that needs re-framing toward QE's strengths.
- The author needs QE's desk-reject risks and a credible quantitative / econometrics alternative list.
Scope & topic fit
- Structural estimation and quantitative modeling across micro and macro: dynamic models, heterogeneous agents, IO, labor, public, trade, macro.
- Computational and numerical methods for solving and estimating economic models.
- Econometric methods oriented toward structural / model-based inference and identification.
- Quantitatively rigorous applied work where the model carries the contribution, not only the reduced-form result.
Method & evidence bar
- The model and its quantitative implementation must both be rigorous: clear economic structure, credible identification of structural parameters, and sound estimation / calibration / computation.
- Identification of the structural model should be transparent — what in the data pins down the parameters.
- Numerical methods and computational choices must be documented and defensible; results should be robust to reasonable alternatives.
- As an Econometric Society journal, the standard for technical correctness and transparency is high; replication code is part of the package.
Structure & house style
- The introduction should state the economic question, the model, the identification, and what the quantitative exercise delivers (counterfactuals, decompositions, estimates).
- Frame the contribution as a model-based advance — methodological, or an applied result that only a structural approach could deliver.
- Use an abstract and JEL codes; relegate derivations, computational detail, and robustness to a supplement / appendix.
- As an open-access journal, follow the current Econometric Society formatting; supplementary material and replication packages are expected.
Official-submission checklist
- Before giving submission-ready advice, read
../../resources/source-basis.mdand../../resources/official-source-map.md; start from the official source anchors for this journal family, then cite the current journal-specific page you checked. - Search the live site for "Quantitative Economics submission guidelines / Econometric Society instructions for authors" and follow the current version.
- Re-check word/figure limits, abstract and JEL requirements, reference and math style, anonymization expectations, and any open-access / article-processing arrangements.
- Re-check the current replication / data and code archive policy (Econometric Society replication requirements).
- If the live official instructions conflict with this skill, the official instructions win.
Pre-submission self-check
- One sentence stating what the quantitative / structural approach delivers that reduced-form work could not.
- The contribution is stated as model + identification + quantitative result, not as a significant coefficient.
- Identification of the structural parameters is transparent and defensible.
- Computational methods, robustness, and replication materials meet Econometric Society standards.
- Open-access / formatting and the replication archive requirements are satisfied.
Common desk-reject triggers
- A reduced-form paper with no genuine structural / quantitative-modeling contribution.
- A structural model with opaque or hand-waved identification of its parameters.
- Undocumented computational choices or results that are not robust.
- A pure-theory paper with no quantitative implementation, or applied work where the model is decorative.
Re-routing decision
- Pure econometric theory / estimators with proofs →
econometric-theoryorthe-econometrics-journal; applied-econometrics methods →journal-of-econometrics. - General-interest structural work with broad ambition →
american-economic-review; macro-structural →aej-macroeconomicsorjournal-of-monetary-economics. - Theory-only contributions →
journal-of-economic-theory; behavioral/experimental →journal-of-economic-behavior-and-organization.
Output format
[Fit] High / Medium / Low (one-line reason)
[Target] Quantitative Economics
[Topic tags] <2–3 closest topics>
[Method/evidence] <do the model and quantitative implementation clear this venue's bar?>
[Top risk] <the single most likely reason for rejection>
[Official items to re-check] <submission system / JEL / open-access / replication archive / computation docs>
[Re-route suggestion] <if not a fit, a better-matched venue>
版本历史
- 1839142 当前 2026-07-05 13:11


