Topic Selection & Venue Fit (aeja-topic-selection)

SkillMedia

This skill helps you decide where an applied microeconomics project should be published, judging whether it belongs at the American Economic Journal: Applied Economics (AEJ: Applied) or fits better at the American Economic Review (AER), AEJ: Economic Policy, or a field journal. It also helps pin down the central question the project should answer. It covers venue fit and question scope, not the design of the study itself.

Available today. Use it from your connected AI after setup.

Add the skill, then describe your project and ask which journal it fits and what its central question should be. Use it at the topic-selection stage, before you commit to a research design.

Then ask your AI: use the Topic Selection & Venue Fit (aeja-topic-selection) skill

What your AI can do with it

  • Judge whether an applied-micro project belongs at AEJ: Applied or fits better at AER, AEJ: Economic Policy, or a field journal
  • Compare target journals for a paper before you submit
  • Pin down the central question a project should answer
  • Set the scope of a research question early in a project

What this skill tells your AI

The instructions your AI receives, as published by brycewang-stanford/awesome-journal-skills in AEJ-Applied-Economics-Skills/skills/aeja-topic-selection/SKILL.md and read by ahel’s review.

When to trigger

  • A project is empirically promising but you are unsure it is "AEJ: Applied-shaped"
  • The question reads like a policy evaluation, a field-specialist note, or a top-general-interest swing — and you need to place it
  • Several possible framings of the same dataset exist and you must pick the one that lands here
  • Reviewers (or a co-author) say "this is fine but why this journal?"

The AEJ: Applied fit test

AEJ: Applied wants empirical applied microeconomics where a credible causal research design answers a substantive economic question of broad applied-micro interest — above a pure field journal but more specialized than AER. Use this decision table to place the project.

Signal in your projectLikely fit
Clean identification + a question labor/dev/health/ed/public economists all care aboutAEJ: Applied (core)
Same design but the contribution is mainly a policy verdict / program ROI framinglean AEJ: Economic Policy
Genuinely general-interest, agenda-setting, methodologically ambitious, longaim AER first
Contribution is field-internal (only sub-field specialists will cite it)a field journal (JHE / JOLE / JDE)
New estimator with a toy applicationEconometrica / REStud / JoE, not AEJ: Applied

AEJ: Applied is empirical-first: theory appears to interpret and discipline the estimate, not to lead. A descriptive or measurement paper can fit if the question is sharp and the measurement is the contribution — but it must not overclaim causality.

Sharpening the question (do this before writing anything)

  1. One-sentence question with the causal object named: "What is the effect of X on Y for population P, identified by design D?"
  2. Why broad applied-micro readers care — name two subfields beyond your own that should cite it.
  3. What the headline number will be (a magnitude with units, even if approximate) — if you cannot imagine the sentence "we find X raises Y by ___," the question is not yet AEJ: Applied-shaped.
  4. The credible-design seed — which design (RCT / DID / RD / IV / shift-share) makes the estimate believable; if none, the topic is not ready (route to aeja-identification).

Checklist

  • One-sentence causal (or sharply descriptive) question with a named estimand
  • Venue placed against the table above; reason it is AEJ: Applied and not AER / AEJ: Policy / a field journal written in one line
  • Two subfields beyond your own that will cite it, named
  • An imaginable headline sentence with a magnitude and units
  • A candidate research design that could make the estimate credible
  • JEL codes drafted (required at submission) reflecting the cross-field appeal

Anti-patterns

  • A field-internal contribution dressed up as general — desk-reject risk for "fit"
  • A pure policy-ROI framing that reads as AEJ: Economic Policy
  • An ambitious agenda paper that is really an AER swing sent to AEJ: Applied as a hedge (or vice versa)
  • "Interesting dataset, no question" — data-availability is not a contribution
  • Implying causality from a design that cannot support it just to clear the bar

Worked vignette (illustrative)

A researcher has linked administrative tax and education records for one country and wants to "study inequality." That is a dataset, not a question. Working through the fit test: the cleanest variation in the data is a school-finance reform that changed per-pupil spending at a sharp formula threshold — an RD. The question becomes "what is the effect of marginal school spending on adult earnings, identified by the funding-formula discontinuity?" Two subfields beyond education (labor and public) will cite it; the imaginable headline is "a $1,000 increase in per-pupil spending raises adult earnings by ~___%." Now it is AEJ: Applied-shaped — and clearly not an AER agenda paper or an AEJ: Policy program verdict.

Sibling-placement quick test

  • Would a non-specialist applied economist find the question interesting, not just the finding? → AEJ: Applied
  • Is the deliverable a policy recommendation / cost-benefit verdict? → lean AEJ: Economic Policy
  • Is the ambition field-defining and the design unusually novel? → try AER first
  • Will only sub-field specialists ever cite it? → a field journal

Output format

【Question】one sentence, estimand + population named
【Venue verdict】AEJ: Applied because [not AER: ___] [not AEJ: Policy: ___] [not field: ___]
【Cross-field appeal】subfields that will cite: [..., ...]
【Headline (anticipated)】"X raises/lowers Y by ~___ (units)"
【Design seed】RCT / DID / RD / IV / shift-share / descriptive
【JEL draft】[codes]
【Next step】aeja-literature-positioning

Signals

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Last commit
Aug 2026
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Catalog kind
skill
Gateway key
aeja-topic-selection
Source
github.com/brycewang-stanford/awesome-journal-skills