Skills Soft Skills AEJ Macro Research Workflow Router

AEJ Macro Research Workflow Router

v20260724
aejmac-workflow
This skill acts as a comprehensive workflow router for manuscripts targeting the American Economic Journal: Macroeconomics (AEJ: Macro). It guides the researcher through the entire publication lifecycle—from initial topic selection and literature positioning, through rigorous quantitative modeling (DSGE, SVAR), empirical identification, writing, to final submission and rebuttal strategy. It ensures the final paper meets the high standards of modern macroeconomics research.
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Overview

AEJ: Macro Workflow Router (aejmac-workflow)

Overview

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.

When to trigger

  • The user asks "what should I do next?"
  • A draft needs its current bottleneck diagnosed
  • Work is ping-ponging between model/estimation, identification, framing, writing, and the response letter
  • An AEJ: Macro decision letter arrived and the user needs to switch into revision mode

Routing table

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

Default order

  1. aejmac-topic-selection — lock the broad-interest macro question
  2. aejmac-literature-positioning — stake the contribution vs. the macro frontier
  3. aejmac-identification — SVAR / LP / narrative / IV credibility (empirical branch)
  4. aejmac-theory-model — calibration / structural-estimation discipline (quantitative branch)
  5. aejmac-robustness — show the headline number is not fragile
  6. aejmac-tables-figures — IRFs, fan charts, model-fit exhibits done right
  7. aejmac-writing-style — make the idea land (abstract + intro last; ≤100-word abstract)
  8. aejmac-replication-package — assemble the AEA-compliant data/code/simulation package
  9. aejmac-referee-strategy — pre-empt the objections macro referees raise
  10. aejmac-submission — AEA system preflight
  11. aejmac-rebuttal — after the R&R

aejmac-identification and aejmac-theory-model are 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-style is a late-stage polish; do not rewrite the intro before the headline number settles.

Anti-patterns

  • Skipping aejmac-replication-package until acceptance — the AEA Data Editor verifies before publication, and for macro this includes simulation/calibration code, not just data cleaning
  • Letting aejmac-tables-figures polish IRFs while the identification or calibration is still moving
  • Treating AEJ: Macro like a field outlet (J. Monetary Economics / RED) — the bar is broad macro interest plus AEA process, not just technical correctness for specialists
  • Choosing a method (DSGE vs. SVAR vs. LP) before deciding what the paper must measure — let the question pick the tool

Routing by paper archetype

AEJ: 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-identificationaejmac-robustness
quantitative DSGE / HANK calibration targets + parameter identification aejmac-theory-model
structural estimation what data moments identify each parameter aejmac-theory-modelaejmac-robustness
model + evidence hybrid does the model match the identified empirical response aejmac-identification + aejmac-theory-model

Worked routing example (illustrative)

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.

Minimal decision snippet

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
Info
Category Soft Skills
Name aejmac-workflow
Version v20260724
Size 7.43KB
Updated At 2026-07-28
Language