技能 数据科学 美国经济学期刊:政策适用性评估

美国经济学期刊:政策适用性评估

v20260724
aej-economic-policy
本技能指导作者评估其应用经济学论文是否符合《美国经济学期刊:经济政策》的发表标准。核心在于评估文章是否同时具备严谨的因果识别(如DiD、IV、RDD)和明确、具有实际影响的政策相关性。适用于论文的重构、定位和自我审查。
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概览

American Economic Journal: Economic Policy (aej-economic-policy)

Journal positioning

AEJ: Economic Policy is the American Economic Association's field home for policy-relevant applied economics one tier below AER's general-interest bar. It publishes credible evaluations of public, health, education, environmental, and tax/transfer policy — work where the identification is sound and the magnitudes speak directly to a policy question. The contribution is the policy lesson backed by clean causal evidence; this is the home for excellent policy-evaluation papers that are narrower than an AER general-interest swing.

This skill is a fit / venue-selection / re-framing tool. It does not replace the journal's current official submission guidelines. Before submitting, re-check the live author instructions on the AEA site and the editorial-manager submission system.

When to trigger

  • The author names AEJ: Policy as the target, or is stepping down from an AER policy submission.
  • A paper credibly evaluates a policy — tax, transfer, regulation, public program, health, education, environment — with policy-relevant magnitudes.
  • A strong applied paper has a clear policy reading and needs a venue that prizes policy relevance plus identification.
  • The author needs AEJ: Policy's desk-reject risks and a credible AER / public-economics alternative list.

Scope & topic fit

  • Public economics and the design/evaluation of taxes, transfers, social insurance, and public programs.
  • Health, education, and environmental/energy policy evaluation with credible identification.
  • Regulation, market design in the public interest, and the distributional and welfare consequences of policy.
  • Applied work where the policy question and its quantitative answer are the contribution, not a methodological novelty.

Method & evidence bar

  • Identification plus policy relevance is the joint filter: the design (RCT, DiD, IV, RDD, bunching) must be credible and the estimated effects must map onto a real policy parameter.
  • Modern estimators and inference are baseline — proper DiD under staggered policy adoption, valid instruments, RDD diagnostics, correct standard errors.
  • Magnitudes must be interpreted in policy terms (cost-effectiveness, welfare, incidence, behavioral responses), not left as significant coefficients.
  • Data and code transparency is mandatory; the AEA data and code availability and verification policy applies, with deposit checked before acceptance.

Structure & house style

  • The introduction states the policy question, the identification, the headline effect and its policy-relevant magnitude, and the lesson for policy design.
  • Lead with the design and the policy-relevant estimate; develop welfare/distributional implications and mechanisms as support, with secondary analyses in an online appendix.
  • AEJ uses an unstructured abstract and JEL codes; robustness and supplementary tables belong in the appendix.
  • Exhibits should report magnitudes in interpretable units and connect estimates to the policy counterfactual.

Official-submission checklist

  • Before giving submission-ready advice, read ../../resources/source-basis.md and ../../resources/official-source-map.md; start from the official source anchors for this journal family, then cite the current journal-specific page you checked.
  • Search the live site for "AEJ: Economic Policy submission guidelines" and the AEA "Data and Code Availability Policy," and follow the current versions.
  • Re-check the submission fee, formatting, abstract/JEL, anonymization, and figure/table standards on the editorial-manager system.
  • Re-check the current data/code deposit and verification workflow (openICPSR / AEA Data Editor), and for experiments any pre-registration / pre-analysis-plan expectations — enforced before acceptance.
  • If the live official instructions conflict with this skill, the official instructions win.

Pre-submission self-check

  • One sentence stating the policy question and why the answer matters for policy design.
  • The contribution is stated as identification + policy-relevant magnitude, not as statistical significance.
  • The introduction positions the paper against the recent policy-evaluation frontier on this question.
  • Identification threats are addressed by design; magnitudes are interpreted in welfare/incidence/cost terms.
  • Data and code are ready for the AEA availability + verification workflow.

Common desk-reject triggers

  • A policy "evaluation" with weak or correlational identification.
  • Naive TWFE on staggered policy adoption, weak IV, or RDD without density/covariate diagnostics.
  • Significant effects with no policy-relevant magnitude, welfare reading, or design lesson.
  • A descriptive policy commentary with no credible causal evidence.

Re-routing decision

  • General-interest policy importance → american-economic-review; one crisp policy result → aer-insights.
  • Core public-economics field-leading → journal-of-public-economics; European policy-debate framing → economic-policy.
  • Applied micro where design (not policy) is the headline → aej-applied-economics; careful measurement / shorter → review-of-economics-and-statistics.
  • Field-specific policy → the relevant top field journal (journal-of-health-economics, journal-of-environmental-economics-and-management, journal-of-labor-economics).

Output format

[Fit] High / Medium / Low (one-line reason)
[Target] American Economic Journal: Economic Policy
[Topic tags] <2–3 closest topics>
[Method/evidence] <does the identification + policy-relevant magnitude clear the bar?>
[Top risk] <the single most likely reason for rejection>
[Official items to re-check] <submission system / fee / JEL / data-code policy / pre-registration>
[Re-route suggestion] <if not a fit, a better-matched venue>
信息
Category 数据科学
Name aej-economic-policy
版本 v20260724
大小 6.09KB
更新时间 2026-07-28
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