跳到正文
cccskills
免费在 GitHub 公开

aejmic-topic-selection

Use when deciding whether a microeconomics project fits the American Economic Journal: Microeconomics (AEJ: Micro) rather than JET, GEB, Theoretical Economics, Econometrica, or AEJ: Applied. Tests scope and broad-interest fit; it does not develop the model (see aejmic-theory-model).

中文简介正在准备中。当前显示原文说明。

查看安装方法

包含的文件(1)

  • SKILL.md4.7 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Topic Selection & Scope Fit (aejmic-topic-selection)

When to trigger

  • The project could plausibly go to AEJ: Micro, a specialist theory journal, or an applied/empirical venue, and you must choose
  • The question feels narrow, technical, or of interest only to a sub-sub-field
  • A reviewer or colleague asked "is this really an AEJ: Micro paper?"
  • You have a clever model but are unsure it carries a broad-interest economic message

The AEJ: Micro fit gate

AEJ: Micro is the AEA's quarterly journal for microeconomic theory and its applications, founded 2009. It is theory-first but values broad microeconomic interest delivered through the AEA editorial process. The fit question is two-pronged: (1) is the contribution a theory contribution (a model, result, characterization, or theory-grounded experiment)? and (2) is the result broadly interesting to micro economists, not only to specialists in one technique?

In scope

  • Game theory, mechanism and market design, matching, auctions and contests
  • Contract theory, information economics, Bayesian persuasion / information design
  • Industrial-organization theory (and structural IO where the theory is the point)
  • Decision theory, behavioral theory, and theory-grounded experiments
  • Political economy / networks when the contribution is a micro-theoretic result

Sibling boundaries — route elsewhere if

  • JET / GEB: specialist theory prizing maximal generality or a technical advance with narrower audience → those venues; AEJ: Micro wants broader micro interest + AEA process.
  • Theoretical Economics / Econometrica: more abstract or methodological (a new solution concept, an estimator, deep foundations) → those venues.
  • AEJ: Applied: the contribution is an empirical applied-micro finding with no central theoretical result → AEJ: Applied (a sibling AEJ).
  • A pure econometric-method paper → Econometrica / QE / a metrics journal.

Decision table

Your contribution is primarily…Likely best home
A clean, broadly interesting micro-theory resultAEJ: Micro
A maximally general or highly technical theory advanceJET / GEB
A new solution concept / methodological foundationTheoretical Economics / Econometrica
An empirical applied-micro findingAEJ: Applied
A theory-grounded experiment testing a modelAEJ: Micro (or a field/experimental venue)
A structural IO paper where the model delivers the insightAEJ: Micro (or QE / a field journal)

Checklist

  • The central contribution is a theory result (or a theory-grounded experiment), not just an empirical finding
  • The result is interesting to a broad micro audience, statable in one sentence
  • Checked the four sibling boundaries (JET/GEB, TE/Econometrica, AEJ: Applied, metrics) and can say why AEJ: Micro
  • The question motivates the model (not a model in search of a question)
  • JEL codes that match the contribution are identifiable (required at submission)

Anti-patterns

  • A "model in search of a question" — technique first, economics absent
  • Maximal generality with a narrow audience (a JET/GEB paper mis-aimed at AEJ: Micro)
  • An empirical paper with a token model bolted on, sent to AEJ: Micro instead of AEJ: Applied
  • Pitching a new estimator or solution concept here rather than to a methods/foundations venue
  • Assuming "microeconomics" in the title is the fit test — the theory-first + broad-interest gate is

Worked vignette (illustrative)

A draft characterizes optimal disclosure in a two-seller search market and also tests one comparative static in a lab experiment. Is it AEJ: Micro? Yes if the characterization is the contribution and the experiment is supporting evidence — that is theory-first with broad IO/information interest. It drifts to a field journal if the experiment becomes the headline and the model is decorative, and toward JET if the authors chase maximal generality at the cost of the economic message.

Output format

【Contribution type】theory result / theory-grounded experiment / structural-with-theory
【One-sentence claim】[...]
【Broad-interest check】who beyond specialists cares, and why
【Sibling boundaries cleared】JET-GEB? TE-Econometrica? AEJ:Applied? metrics? [Y/N each]
【JEL codes】[primary; secondary]
【Verdict】AEJ: Micro fit? [yes / reconsider venue]
【Next step】aejmic-literature-positioning, then aejmic-theory-model

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Use when packaging AAAI code, data, multimedia appendices, technical appendices, reproducibility evidence, and post-acceptance artifact releases without violating double-blind or immutable-supplement rules.

中文简介正在准备中。当前显示原文说明。

brycewang-stanford/Awesome-Journal-Skills12882026年9月27日 更新

Use when drafting an AAAI author response (rebuttal) under the single short character-limited author-feedback window, the no-URL rule, no-new-results guidance, AI-generated-review handling, and the AAAI two-phase review process where Phase-2 papers receive one feedback round before SPC/AC discussion.

中文简介正在准备中。当前显示原文说明。

brycewang-stanford/Awesome-Journal-Skills12882026年9月27日 更新

Use when preparing an accepted AAAI paper for camera-ready source submission to AAAI Press, including proceedings page limits, two-column template compliance, copyright transfer, purchased extra technical pages, deanonymization, registration, oral or poster presentation, and final public artifact release.

中文简介正在准备中。当前显示原文说明。

brycewang-stanford/Awesome-Journal-Skills12882026年9月27日 更新

Use when designing or auditing AAAI experiments for the broad-AI program committee, including baselines, ablations, statistical significance, robustness, human evaluation, AI-for-Social-Impact and alignment/safety evidence, compute and cost reporting, and reproducibility-checklist alignment for Phase-1 survival.

中文简介正在准备中。当前显示原文说明。

brycewang-stanford/Awesome-Journal-Skills12882026年9月27日 更新

Use when positioning an AAAI paper's novelty against archival work, contemporaneous arXiv or workshop papers, and AAAI/IJCAI/NeurIPS/ICML/ICLR neighbors across the broad AI scope, while staying inside AAAI's dual-submission and AI-as-source policy constraints and writing a related-work section legible to non-specialist reviewers.

中文简介正在准备中。当前显示原文说明。

brycewang-stanford/Awesome-Journal-Skills12882026年9月27日 更新

Use when strengthening an AAAI paper's reproducibility checklist (placed after references), experimental traceability, seed and hyperparameter reporting, compute and cost disclosure, dataset access and licensing, code/data ZIP readiness, and the claim-to-evidence map that Phase-1 reviewers use to judge rigor across AAAI's broad AI scope.

中文简介正在准备中。当前显示原文说明。

brycewang-stanford/Awesome-Journal-Skills12882026年9月27日 更新

查看 brycewang-stanford 的全部技能

报告此技能的问题