aej-macroeconomics
Use when targeting American Economic Journal: Macroeconomics or deciding whether a macroeconomics manuscript fits this venue. Encodes the journal's …
它会碰到什么
这一栏是扫描器报的事实,不是结论。命中多不等于有毒(安全工具、规则库、示例脚本本来就会包含危险写法),命中少也不等于干净。它和你手上的凭据、文件、网络有什么关系,需要你自己看。
技能内容
American Economic Journal: Macroeconomics (aej-macroeconomics)
Journal positioning
AEJ: Macroeconomics is the American Economic Association's field home for macro one tier below AER's general-interest bar. It publishes macro, monetary, growth, and business-cycle research — both quantitative/structural models (DSGE, HANK, heterogeneous-agent and quantitative frameworks) and empirical macro. The contribution can be field-specific rather than discipline-wide, but the model discipline or empirical identification must be top-quality; this is the natural home for serious macro that is excellent but narrower than a top-5 swing.
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 AEA site and the editorial-manager submission system.
When to trigger
- The author names AEJ: Macro as the target, or is stepping down from a top-5 macro submission.
- A paper develops a quantitative/structural macro model (DSGE, HANK, heterogeneous-agent, growth) or a credible empirical-macro design.
- A strong macro paper is excellent but narrower than AER's general-interest bar and needs the right macro home.
- The author needs AEJ: Macro's desk-reject risks and a credible top-5 / macro-field alternative list.
Scope & topic fit
- Business cycles, monetary and fiscal policy, growth, and macro-labor / macro-finance with a macro question at the core.
- Quantitative and structural macro: DSGE, New Keynesian, HANK and heterogeneous-agent models, search/matching, and calibrated/estimated quantitative models.
- Empirical macro: identified shocks (monetary, fiscal, news), VARs/local projections, and cross-country or regional macro evidence.
- Theory-with-quantitative-discipline papers that connect a mechanism to data via calibration or estimation.
Method & evidence bar
- Model discipline or identification is the filter: structural models need clearly stated environments, sensible calibration/estimation, and quantitatively credible results; empirical macro needs a defensible identification of the shock or effect.
- Quantitative models should confront relevant moments or facts and show the mechanism is doing the work, not free parameters.
- Empirical-macro inference must use current standards (identified shocks, local projections, proper standard errors) and pre-empt the obvious alternative explanations.
- Data, code, and replication transparency is mandatory; the AEA data and code availability and verification policy applies, with deposit checked before acceptance.
Structure & house style
- The introduction states the macro question, the model or identification, the headline quantitative result, and what it implies for the macro debate.
- Lead with the mechanism and its quantitative magnitude; relegate derivations, full model details, and robustness to appendices and online supplements.
- AEJ uses an unstructured abstract and JEL codes; computational details and sensitivity analysis live in the appendix.
- Exhibits should make the quantitative result (impulse responses, decompositions, counterfactuals) legible and tie back to the mechanism.
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 "AEJ: Macroeconomics submission guidelines" and the AEA "Data and Code Availability Policy," and follow the current versions.
- Re-check the submission fee, formatting, abstract/JEL, anonymization, and figure/table standards on the editorial-manager system.
- Re-check the current data/code and computational replication-package deposit and verification workflow (openICPSR / AEA Data Editor) — enforced before acceptance.
- If the live official instructions conflict with this skill, the official instructions win.
Pre-submission self-check
- [ ] One sentence stating the macro question and the model or identification that answers it.
- [ ] The contribution is stated as mechanism / quantitative result / identification, not as statistical significance.
- [ ] The introduction positions the paper against the recent macro frontier on this question.
- [ ] The model is disciplined by data (calibration/estimation) or the empirical shock is credibly identified; results are quantitatively meaningful.
- [ ] Data, code, and computational replication package are ready for the AEA availability + verification workflow.
Common desk-reject triggers
- A structural model with free parameters chosen to fit, where the mechanism is not shown to drive the result.
- Empirical macro with a poorly identified shock or VAR with no credible identification.
- A reduced-form regression with no macro mechanism or quantitative interpretation.
- "First to model X" framing with no quantitative or conceptual advance over existing macro models.
Re-routing decision
- General-interest macro importance →
american-economic-review,quarterly-journal-of-economics, orjournal-of-political-economy; one crisp result →aer-insights. - Monetary / business-cycle field-leading →
journal-of-monetary-economics; dynamic-macro structural →review-of-economic-dynamics. - Growth-focused →
journal-of-economic-growth; frontier macro theory/methods →review-of-economic-studies. - Empirical-macro measurement / shorter →
review-of-economics-and-statistics.
Output format
[Fit] High / Medium / Low (one-line reason)
[Target] American Economic Journal: Macroeconomics
[Topic tags] <2–3 closest topics>
[Method/evidence] <does the model discipline / identification clear the macro-field bar?>
[Top risk] <the single most likely reason for rejection>
[Official items to re-check] <submission system / fee / JEL / data-code policy / computational replication>
[Re-route suggestion] <if not a fit, a better-matched venue>想直接用这个技能?
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它属于哪个仓库
English-SocialScience-Journal-Skills/skills/aej-macroeconomics/SKILL.md