skills/50-brycewang-aer-skills/skills/aer-topic-selection/SKILL.md
Use when evaluating whether a research idea clears the AER top-5 bar, when routing between AER, AER:Insights, and the AEJ family, or when sharpening a fuzzy contribution sentence into one publishable claim. Apply before any writing begins.
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research aer-topic-selectionInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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The single most expensive mistake in top-5 economics is writing a polished manuscript around a contribution that was always going to be desk-rejected. This skill is the pre-mortem: stress-test the idea, the audience, and the venue before the introduction is drafted.
AER accepts only a small share of submissions — on the order of 6–8% historically (Card and DellaVigna 2013, Nine Facts about Top Journals), and recent Reports of the Editor put the rate lower still. A large fraction of submissions are desk-rejected before ever reaching a referee; for AER: Insights, founding editor Amy Finkelstein has reported desk-rejecting "roughly 45%" of submissions. Either way, much of a paper's survival probability is determined before the first paragraph is written.
A paper clears the top-5 bar if and only if all four are true:
If any single test fails, the realistic target is an AEJ or a top field journal, not AER.
| Signal | Target | |-------------------------------------------------------------------|-------------------| | Cross-subfield interest + ≥ 40 pages of substance | AER | | One sharp result, fits the AER: Insights word/exhibit formula, can be told without a long lit review | AER: Insights | | Strong but subfield-bounded contribution; methodologically sound | AEJ: Applied / Policy / Macro / Micro | | Conventional method, modest extension, useful for one literature | Top field journal | | Field experiment with policy hook | AER, AEJ:Applied, or QJE — register in AEA RCT Registry before submission |
For AER: Insights specifically, the editor (Amy Finkelstein) has stated that a great short paper "makes one point and makes it clearly, concisely, and effectively." If you have a second point, write a second paper.
Force the contribution into one sentence with this template:
We show that X causes Y, identified by Z, using data D, with magnitude M,
which changes the way economists think about Q.
If any blank cannot be filled in:
aer-identification before doing anything elseRun these five questions (the search protocol and antecedents map live in
aer-literature — use it to answer them with evidence, not recall):
A "yes" to (4) or (5) is fatal at AER.
The editor scans for these in the first ten minutes:
If any of these are present, fix them before submission.
Peer feedback measurably improves journal placement: one SD more comments → 47% higher journal quality. Before sending to AER, target:
Skip none of these for an AER target. AER: Insights tolerates a shorter cycle because the contribution is sharper and the venue is younger.
Bundled with the installed skill, no repository checkout needed --- read it before the repo resources below:
references/venue-router.md --- AER vs Insights vs AEJ routing tables, novelty audit, and kill criteriaWhen working from the AER-skills repository or plugin bundle, load only the relevant resource:
examples/modern-aer-exemplars.mdexamples/aer-exemplars.mddocs/desk-rejection-audit.mddocs/workflow-map.mdAdvance to aer-identification / aer-introduction only if all hold; otherwise route down (AEJ / field journal) or stop:
When this skill finishes, emit:
CONTRIBUTION SENTENCE: <one line>
TARGET VENUE: <AER | AER:Insights | AEJ:Applied | AEJ:Policy | AEJ:Macro | AEJ:Micro>
TOP-5 BAR TESTS PASSED: <count>/4
KILL SWITCHES TRIGGERED: <list, or "none">
NEXT SKILL: <aer-literature | aer-identification>
tools
Recommend AND run open-source AI tools, agents, Claude Code / Codex skills, and MCP servers for any stage of a literature review — searching, reading, extracting, synthesizing, screening, citation-checking, and paper writing. Use when the user asks "what tool should I use to..." OR "install/run/use <tool> to ..." for research/lit-review work: automating a survey or related-work section, PDF→Markdown extraction for LLMs (MinerU/marker/docling), PRISMA / systematic review (ASReview), citation-backed Q&A over PDFs (PaperQA2), wiring papers into Claude/Cursor via MCP (arxiv/paper-search/zotero servers), or chatting with a Zotero library. Ships a launcher (scripts/litrun.py) that installs each tool in an isolated venv and runs it. Curated catalog of 70+ vetted projects. 支持中英文(用于「文献综述工具选型」与「一键安装/运行」)。
development
Route empirical-research requests through the Auto-Empirical Research Skills catalog when this whole repository is installed as one skill in Codex, CodeBuddy, Claude Code, or another IDE. Use to choose and load the right vendored AERS skill for causal inference, econometrics, replication, data acquisition, manuscript writing, peer review and referee responses, citation checking, de-AIGC editing, or full empirical-paper workflows without reading the entire repository at once.
documentation
Use when the project collects primary data or runs a field, lab, or survey experiment, before the intervention begins — write the pre-analysis plan, size the sample from a power calculation, and register with the AEA RCT Registry. Apply after the design is chosen in aer-identification and before any outcome data are seen.
tools
Guide economists to authoritative data sources with explicit, confirmed data specifications before retrieval; interfaces with Playwright MCP to navigate portals and extract real data, not articles about data.