Stats
Actions
Tags
From aej-macroeconomics-skills
Diagnoses manuscript bottlenecks and routes to the appropriate aejmac-* sub-skill for AEJ: Macro submissions. Activates when sequencing work from topic selection through rebuttal or when a decision letter arrives.
How this skill is triggered — by the user, by Claude, or both
Slash command
/aej-macroeconomics-skills:aejmac-workflowThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
This is the router. It tells you **which aejmac-* skill to use at the current stage** of a manuscript aimed at the *American Economic Journal: Macroeconomics* (AEJ: Macro) — the **American Economic Association's** quarterly, broad-interest macro journal (founded 2009; one of four AEJs). AEJ: Macro rewards papers that bring **quantitative discipline and policy relevance** to a substantive macro ...
This is the router. It tells you which aejmac- skill to use at the current stage* of a manuscript aimed at the American Economic Journal: Macroeconomics (AEJ: Macro) — the American Economic Association's quarterly, broad-interest macro journal (founded 2009; one of four AEJs). AEJ: Macro rewards papers that bring quantitative discipline and policy relevance to a substantive macro question across growth, business cycles, monetary and fiscal policy, labor-macro, international macro, and macro-finance.
The defining feature of AEJ: Macro is methodological breadth: it publishes both quantitative-theoretical work (DSGE, heterogeneous-agent, structural estimation, calibrated models) and identified-empirical work (SVAR, local projections, narrative identification, micro-data macro). A paper does not have to be one or the other — the bar is that whichever tool you use, the mapping from model/data to the macro conclusion is disciplined.
Default assumption: unless the user says otherwise, treat the target as AEJ: Macro. Operational tells that you are at AEJ: Macro and not a field-macro or general-interest sibling: submission via the AEA submission system; a membership-scaled submission fee (member/nonmember × income tier; 检索于 2026-06，以官网为准); single-blind external review managed by the editor/coeditors; JEL codes required; the AEA Data Editor (Lars Vilhuber) runs a pre-publication reproducibility check — covering simulation and calibration code, not only regression scripts — with materials deposited at the AEA Data and Code Repository on openICPSR. Editor as of 2026: Ayşegül Şahin (检索于 2026-06；以官网为准). Re-verify volatile specifics on the official AEA pages.
| Current symptom | Next skill |
|---|---|
| Question feels narrow / field-macro / not broad-interest | aejmac-topic-selection |
| Contribution vs. the macro frontier is fuzzy or undersold | aejmac-literature-positioning |
| Empirical identification (SVAR / LP / narrative / IV) is shaky | aejmac-identification |
| A quantitative model needs calibration / estimation discipline | aejmac-theory-model |
| Headline number not shown robust to specification / sample / tuning | aejmac-robustness |
| Exhibits are dense; IRFs/fan charts/fit plots unclear | aejmac-tables-figures |
| Prose buries the question; abstract/intro do not land | aejmac-writing-style |
| Data/code/simulation deposit, README, or AEA Data Editor prep | aejmac-replication-package |
| Want to anticipate referee objections / desk-reject odds | aejmac-referee-strategy |
| Ready to submit via the AEA system; need a preflight | aejmac-submission |
| Received an R&R; need a response-letter strategy | aejmac-rebuttal |
aejmac-topic-selection — lock the broad-interest macro questionaejmac-literature-positioning — stake the contribution vs. the macro frontieraejmac-identification — SVAR / LP / narrative / IV credibility (empirical branch)aejmac-theory-model — calibration / structural-estimation discipline (quantitative branch)aejmac-robustness — show the headline number is not fragileaejmac-tables-figures — IRFs, fan charts, model-fit exhibits done rightaejmac-writing-style — make the idea land (abstract + intro last; ≤100-word abstract)aejmac-replication-package — assemble the AEA-compliant data/code/simulation packageaejmac-referee-strategy — pre-empt the objections macro referees raiseaejmac-submission — AEA system preflightaejmac-rebuttal — after the R&R
aejmac-identificationandaejmac-theory-modelare siblings, not a strict order: an empirical paper leans on the former, a quantitative paper on the latter, and a hybrid paper visits both.aejmac-writing-styleis a late-stage polish; do not rewrite the intro before the headline number settles.
aejmac-replication-package until acceptance — the AEA Data Editor verifies before publication, and for macro this includes simulation/calibration code, not just data cleaningaejmac-tables-figures polish IRFs while the identification or calibration is still movingAEJ: Macro spans several macro branches, and the bottleneck differs by branch. Read the archetype, then enter the chain at the right link.
| Archetype | Likely first bottleneck | Enter at |
|---|---|---|
| empirical shock-identification (monetary/fiscal) | SVAR / narrative / proxy-VAR credibility | aejmac-identification |
| dynamic-effects estimation | local-projection specification + inference | aejmac-identification → aejmac-robustness |
| quantitative DSGE / HANK | calibration targets + parameter identification | aejmac-theory-model |
| structural estimation | what data moments identify each parameter | aejmac-theory-model → aejmac-robustness |
| model + evidence hybrid | does the model match the identified empirical response | aejmac-identification + aejmac-theory-model |
A user says: "My HANK model matches the data, but a referee says my monetary-shock series is not credibly exogenous and the consumption response is not robust to the lag length." That is two distinct AEJ: Macro pushbacks — identification of the shock (owned by aejmac-identification, narrative/high-frequency branch) and fragility of the dynamic response (owned by aejmac-robustness). The model side (aejmac-theory-model) only matters once the empirical target it is matched to is credible. Route to identification first; once the shock and the response settle (say the peak MPC-driven consumption response stabilizes at 1.4%, 90% CI [0.9, 1.9], illustrative), return to aejmac-tables-figures and aejmac-rebuttal.
if decision_letter_arrived: -> aejmac-rebuttal
elif ready_to_submit: -> aejmac-submission
elif anticipating_referees: -> aejmac-referee-strategy
elif data_code_deposit: -> aejmac-replication-package
elif exhibits_unclear: -> aejmac-tables-figures
elif headline_fragile: -> aejmac-robustness
elif model_calibration_estimation: -> aejmac-theory-model
elif shock_or_design_shaky: -> aejmac-identification
elif claim_or_positioning_fuzzy: -> aejmac-literature-positioning
else: -> aejmac-topic-selection
npx claudepluginhub brycewang-stanford/awesome-journal-skills --plugin aej-macroeconomics-skillsRoutes manuscript work for AEJ: Applied submissions by diagnosing bottlenecks and selecting the appropriate specialized skill for topic selection, identification, writing, or replication.
Routes manuscript workflow for AEJ: Micro submissions by diagnosing bottlenecks and directing to specialized sub-skills for topic selection, theory, or revision.
Anticipates referee and coeditor objections on AEJ: Macro manuscripts before submission, calibrates desk-reject and revision odds, and identifies pre-emptive robustness checks.