Use when deciding whether a macro paper fits the American Economic Journal: Macroeconomics (AEJ: Macro) rather than AER, J. Monetary Economics, RED, or AEJ: Applied. Tests the broad-interest macro bar and venue fit; it does not write the paper or fix identification.
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AEJ: Macro is the AEA's quarterly, broad-interest macro journal (founded 2009; one of four AEJs). The fit test has three legs:
A paper that has only two of three is usually a field paper or an AER paper, not AEJ: Macro.
| Signal | Better venue | Why |
|---|---|---|
| Result reshapes the general macro consensus; first-order, top-of-field | AER (or AER: Insights if short) | AEJ: Macro is high-quality but not the general-interest flagship |
| Deep, technical contribution mainly for monetary/business-cycle theorists | J. Monetary Economics | Field depth over breadth |
| Quantitative dynamic-GE methods paper for the macro-methods community | Review of Economic Dynamics (RED) | RED is the quantitative-dynamics field home |
| Micro-empirical paper that happens to touch macro aggregates | AEJ: Applied | Applied identification over macro mechanism |
| Pure macro theory with no quantification | Theoretical Economics / JET / RED | AEJ: Macro values quantitative discipline |
| Broad macro question + disciplined quantification + policy relevance | AEJ: Macro | The sweet spot |
【Macro question (1 sentence + quantity/units)】...
【Three-leg fit】broad interest? [Y/N] quantitative discipline? [Y/N] policy/mechanism? [Y/N]
【Tool the question demands】SVAR / LP / narrative / DSGE / HANK / structural / hybrid
【Venue verdict】AEJ: Macro vs. {AER / JME / RED / AEJ: Applied} + one-line why
【Audience】which general macro readers cite it
【Next step】aejmac-literature-positioning
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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.
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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.
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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.
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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.
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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.
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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.
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