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aeja-topic-selection

Use when deciding whether an applied-micro project belongs at the American Economic Journal: Applied Economics (AEJ: Applied) rather than AER, AEJ: Economic Policy, or a field journal, and what its central question should be.

Install / Use

npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeja-topic-selection

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

85/100

Category

Marketing

Supported Platforms

Universal

Our assessment of aeja-topic-selection

aeja-topic-selection scores 85/100 on our quality scale, 335th of 627 Marketing skills we index.

Its SKILL.md is 5.1 KB long, well organised into 9 sections with 1 code example: a solid amount of guidance for an agent.

With 1,158 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
17/20
Description
15/15
Adoption
13/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 18 days ago, so aeja-topic-selection is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

aeja-topic-selection compared with similar skills

All 4 of these similar skills score higher than aeja-topic-selection; compare them before choosing.

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Frequently asked questions

How do I install aeja-topic-selection?
Run npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeja-topic-selection. The install tabs above show the steps for each supported agent.
Which AI agents does aeja-topic-selection work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is aeja-topic-selection safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is aeja-topic-selection still maintained?
The repository was last updated 18 days ago, so aeja-topic-selection is actively maintained.

name: aeja-topic-selection description: Use when deciding whether an applied-micro project belongs at the American Economic Journal: Applied Economics (AEJ: Applied) rather than AER, AEJ: Economic Policy, or a field journal, and what its central question should be. Sets venue fit and question scope; it does not design the identification (see aeja-identification).

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

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 project | Likely fit | |------------------------|-----------| | Clean identification + a question labor/dev/health/ed/public economists all care about | AEJ: Applied (core) | | Same design but the contribution is mainly a policy verdict / program ROI framing | lean AEJ: Economic Policy | | Genuinely general-interest, agenda-setting, methodologically ambitious, long | aim AER first | | Contribution is field-internal (only sub-field specialists will cite it) | a field journal (JHE / JOLE / JDE) | | New estimator with a toy application | Econometrica / 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

Related Skills

View on GitHub
GitHub Stars1.2k
CategoryMarketing
Updated18d ago
Forks153

Languages

Stata

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions