agentsclimarketplace

Aejpol topic selection

Skill brycewang-stanford/Awesome-Journal-Skills/AEJ-Economic-Policy-Skills/skills/aejpol-topic-selection

Use when deciding whether a project fits AEJ: Economic Policy rather than J. Public Economics, AEJ: Applied, or AER, and when sharpening the policy question and its welfare stake for an AEJ: Economic Policy manuscript. Frames fit and the policy-question-first contribution; it does not design the identification or run estimation.From its SKILL.md

Install
npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill aejpol-topic-selection

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

5.8 KB, ~1.3k tokens by cl100k_base, as published. Nobody here has run it

Topic Selection & Policy-Question Fit (aejpol-topic-selection)

When to trigger

  • You have a clean empirical result but are unsure it is "an AEJ: Policy paper"
  • The project could plausibly go to J. Public Economics, AEJ: Applied, or AER and you must pick
  • A referee or colleague says the question is "narrow," "not a policy paper," or "so what?"
  • You can state a finding but not yet a policy question with a welfare / cost-benefit / distributional stake

The AEJ: Policy bar — lead with the policy question

AEJ: Policy publishes the economic analysis OF policy: a paper is built around a policy question ("should this tax / mandate / subsidy / regulation exist, expand, or change, and at what welfare cost?") whose answer carries a welfare, cost-benefit, or distributional implication of broad interest to the AEA readership. Two halves must both be present from the first page:

  1. A real policy lever. A specific instrument someone could pull — a credit, a tax schedule, an eligibility rule, an emissions standard, a transfer, a mandate, an enforcement regime. Not just "an interesting natural experiment."
  2. A counterfactual / welfare reading. What changes, for whom, and is it worth it — a cost-benefit ratio, a marginal-value-of-public-funds (MVPF), an incidence/distributional split, or a calibrated welfare number. A clean estimate with no policy reading is off-fit.

Policy areas in scope

Public economics & taxation · environmental & energy · health · education · labor & social insurance · regulation & antitrust · development policy · political economy of policy. Empirical (quasi-experimental / RCT) and applied-theory work both fit — provided the policy question and welfare relevance are explicit.

Fit decision table (route by the dominant pull)

If the paper is mainly…It belongs at…Tell
broad-interest policy question + credible causal evidence + welfare readingAEJ: Policythe policy lesson is the headline
a deep field-public-finance contribution for specialistsJ. Public Economicsbroad readership would not follow the "so what"
identification-driven applied micro with no policy lever / welfare claimAEJ: Appliedthe natural experiment, not a policy, is the point
a first-order, general-interest result warranting top-5 lengthAERthe contribution is larger and longer than a field-leading policy paper

Checklist

  • The policy lever is named in one sentence (instrument + who is affected)
  • The policy question is stated as a question with a welfare/cost-benefit/distributional stake
  • The counterfactual is concrete (what the policy is compared against)
  • Broad-interest test passed: a non-specialist AEA reader sees why it matters
  • Sibling check done (not JPubE field-only / not AEJ:Applied no-policy / not AER-scale)
  • You can name the welfare object you will eventually report (MVPF, cost-per-X, incidence)

Anti-patterns

  • "We exploit a clean natural experiment" with no policy the experiment evaluates (reads as AEJ: Applied)
  • A field-public-finance result with no broad-interest framing (reads as J. Public Economics)
  • A descriptive or correlational "policy-relevant" topic with no credible counterfactual
  • Promising a welfare/cost-benefit reading you have no way to compute
  • Leading with the dataset or method instead of the policy question

Three questions that decide fit fast

Before investing in a draft, answer these in one sentence each; a "no" or "I can't" on any is a fit problem:

  1. The lever test — can you name the instrument a decision-maker would pull? (If it is "a shock," not a policy, lean AEJ: Applied.)
  2. The welfare test — can you name the welfare object you will report (MVPF, cost-per-X, incidence)? (If not, the policy "so what" is missing.)
  3. The broad-interest test — would a non-specialist AEA reader, not just the field, care about the answer? (If only the field cares, lean JPubE.)

Worked vignette (illustrative)

A draft estimates that a state's expansion of a childcare subsidy raised maternal employment. As "we find subsidy → employment" it is a clean applied-micro result (AEJ: Applied). Reframed for AEJ: Policy: "Is expanding the childcare subsidy a cost-effective way to raise maternal labor supply, and who bears the cost?" — now the employment elasticity feeds a cost-per-additional-worker and an incidence split across income groups (illustrative), and the paper has a policy lever, a counterfactual, and a welfare reading.

Referee pushback mapped to the fix

  • "Better suited to a field journal." → Sharpen the broad-interest framing; lead with the policy lesson, not the institutional detail.
  • "This is just a clean natural experiment." → Name the policy the experiment evaluates and the welfare object; if there is none, reconsider the target.
  • "Interesting but so what for policy?" → Add the cost-benefit / incidence reading to the abstract, not the conclusion.

Output format

【Policy lever】instrument + affected population (one sentence)
【Policy question】stated as a question with a welfare/cost-benefit/distributional stake
【Counterfactual】what the policy is compared against
【Welfare object to report】MVPF / cost-per-X / incidence / calibrated welfare
【Fit verdict】AEJ: Policy vs JPubE / AEJ:Applied / AER + one-line reason
【Next step】aejpol-literature-positioning

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.