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aejmac-submission

Use when running the final pre-submission preflight for the American Economic Journal: Macroeconomics (AEJ: Macro) via the AEA submission system — membership-scaled fee, JEL codes, PDF and length rules, ≤100-word abstract, disclosure statements, and data/code readiness. Final checks; it does not draft content.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

brycewang-stanford/Awesome-Journal-Skills

실행 점수 미검증

설치 방법 보기

포함된 파일(2)

  • SKILL.md4.4 KB
  • templates/checklist.md2.9 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Submission Preflight (aejmac-submission)

When to trigger

  • "Submitting tomorrow" — last check before pressing submit on the AEA system
  • Unsure which files, fees, and statements the AEA submission expects
  • Confirming the format rules (PDF, length, abstract, JEL) are AEJ: Macro-compliant
  • Confirming disclosure statements and data/code readiness are in order

Process facts (verified 2026-06; editor + fees re-verified 2026-06-22; re-confirm on the official AEA pages)

  • AEJ: Macro is one of the AEA's four American Economic Journals (founded 2009; quarterly). Print ISSN 1945-7707 / Online ISSN 1945-7715. Submission is through the AEA submission system as PDF. Editor (re-verified 2026-06-22): Ayşegül Şahin (Princeton); coeditors Bianchi (Johns Hopkins), Kalemli-Özcan (Brown), Quadrini (USC) — re-verify the masthead on the AEA editors page before submission.
  • Submission fee (membership- and income-scaled; 检索于 2026-06-22；以官网为准): AEA members US$200 (high-income country) / US$100 (middle-income) / US$0 (low-income); nonmembers US$300 / US$200 / US$0. Paid by credit card at submission. Papers rejected without review receive a 50% refund.
  • Publication fee: US$15 per typeset page, assessed at page proofs (applies to papers submitted after Feb 1, 2024; 检索于 2026-06-22；以官网为准).
  • Review: single-blind (author known to referee). JEL codes required. AI cannot be listed as an author.
  • Data & code: governed by the AEA Data and Code Availability Policy; the AEA Data Editor runs a pre-publication reproducibility check; deposit at the AEA Data and Code Repository on openICPSR (see aejmac-replication-package). Field experiments register in the AEA RCT Registry.

Preflight checklist

Format & length

  • One PDF; first page has title, byline, and complete affiliations
  • Abstract ≤100 words
  • JEL codes and keywords included
  • Within length guidance: ~40 pages (11pt, 1.5 spacing) / ~45 pages (12pt, 1.5 spacing), including figures, tables, references, and appendices (检索于 2026-06；以官网为准)
  • Figures/tables legible after AEA two-column typesetting; IRFs have stated confidence bands
  • Online appendix prepared for material beyond the page limit

Files & fees for the AEA system

  • Main manuscript PDF; online appendix file if any
  • Fee tier determined (member/nonmember × income tier); card ready
  • Replication package staged for the post-acceptance Data Editor check (incl. simulation/calibration code)
  • Field-experiment registration link ready, if applicable

Declarations

  • Separate disclosure statement from each coauthor (AEA policy; US$10,000 interested-party threshold; all funding sources, in-kind support, positions)
  • Confirmed the paper is original and not under review elsewhere
  • AI not listed as an author

Anti-patterns

  • Abstract over 100 words (a hard AEJ: Macro constraint, tighter than most journals)
  • Missing JEL codes
  • Forgetting a per-coauthor disclosure statement (each coauthor, separately)
  • Overrunning the ~40-page guidance instead of moving material to the online appendix
  • Treating the $15/page proof fee as a submission-time charge
  • Assuming double-blind anonymization (AEJ: Macro is single-blind)

Output format

【Format】PDF; title page; JEL + keywords? [Y/N]
【Abstract】≤100 words? [Y/N] (current: __)
【Length】within ~40pp guidance (incl. appendices) or appendix split planned? [Y/N]
【Fee】member/nonmember × income tier determined; card ready? [Y/N]
【Disclosure】separate statement per coauthor; $10k threshold checked? [Y/N]
【Data/code】replication package staged for the AEA Data Editor? [Y/N]
【Next step】submit via the AEA system → aejmac-referee-strategy for what to expect

Supplementary resources

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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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

brycewang-stanford/Awesome-Journal-Skills1.3천2026년 9월 27일 업데이트

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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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

brycewang-stanford/Awesome-Journal-Skills1.3천2026년 9월 27일 업데이트

aaai-camera-ready

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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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

brycewang-stanford/Awesome-Journal-Skills1.3천2026년 9월 27일 업데이트

aaai-experiments

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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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

brycewang-stanford/Awesome-Journal-Skills1.3천2026년 9월 27일 업데이트

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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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

brycewang-stanford/Awesome-Journal-Skills1.3천2026년 9월 27일 업데이트

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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.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

brycewang-stanford/Awesome-Journal-Skills1.3천2026년 9월 27일 업데이트

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