aaai-artifact-evaluati…
Use when packaging AAAI code, data, multimedia appendices, technical appendices, reproducibility evidence, and post-acceptance…
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
Claude Code
$ npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill aeja-topic-selection --agent claude-code
Codex
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeja-topic-selection -a codex -y
Cursor
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeja-topic-selection -a cursor -y
Gemini CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeja-topic-selection -a gemini-cli -y
GitHub Copilot
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeja-topic-selection -a github-copilot -y
OpenCode
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeja-topic-selection -a opencode -y
Windsurf
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeja-topic-selection -a windsurf -y
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).
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.
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`).
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.
【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
Stanford REAP × CoPaper.AI · 由斯坦福实证方法论团队精选与维护 访问 copaper.ai 微信:CoPaper.AI 按 11 个主流学科板块覆盖 经管与商科 社会科学 人文学科 数学与物理科学 生命科学 医学与健康 工程与技术 计算机科学与 AI 体育科学 点击任一学科名可跳转到对应说明;每类下的代表子领域在正文总览中完整列出。下方封面墙按 venue 导航,完整分类见覆盖一览。 🧭 布局指南 · 📚 Skill Pack 一览 · ⚡ 如何使用 · 🧪 自动实证
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