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aeja-referee-strategy

Use when anticipating the objections a sophisticated American Economic Journal: Applied Economics (AEJ: Applied) referee will raise, so a manuscript pre-empts them before submission or addresses them in revision.

Install / Use

npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeja-referee-strategy

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

85/100

Supported Platforms

Universal

Tags

Our assessment of aeja-referee-strategy

aeja-referee-strategy scores 85/100 on our quality scale, 2221st of 4,610 Development & Engineering skills we index (top 49%).

Its SKILL.md is 4.8 KB long, well organised into 8 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-referee-strategy 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-referee-strategy compared with similar skills

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Frequently asked questions

How do I install aeja-referee-strategy?
Run npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeja-referee-strategy. The install tabs above show the steps for each supported agent.
Which AI agents does aeja-referee-strategy 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-referee-strategy 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-referee-strategy still maintained?
The repository was last updated 18 days ago, so aeja-referee-strategy is actively maintained.

name: aeja-referee-strategy description: Use when anticipating the objections a sophisticated American Economic Journal: Applied Economics (AEJ: Applied) referee will raise, so a manuscript pre-empts them before submission or addresses them in revision. Plans the defense; it does not draft the response letter (aeja-rebuttal) or run the submission preflight (aeja-submission).

Referee Strategy (aeja-referee-strategy)

When to trigger

  • The paper is near submission and you want to stress-test it against the referees it will draw
  • You need to decide which robustness checks to run before submitting vs. hold in reserve
  • An R&R arrived and you must map referee concerns to concrete responses
  • You want to understand how AEJ: Applied's single-blind peer-review process shapes strategy

How AEJ: Applied review works (plan around it)

AEJ: Applied uses single-blind review through the AEA ScholarOne system: author identities are visible to referees, while referee identities remain anonymous to authors. An editor assigns the paper to a coeditor or handles it directly, and before a first R&R the handling coeditor consults a second coeditor. Referees here are identification-literate applied microeconomists; the modal report attacks the credibility of the design first, then magnitude/mechanism, then external validity. The editor weighs whether the contribution is novel and the design clears the bar. Plan to pre-empt the predictable objections in the paper itself, leaving the response letter for genuinely new asks.

The objection map (pre-empt in the paper)

| Referee objection (by design) | Pre-emption to build in now | |-------------------------------|-----------------------------| | "TWFE is biased under staggered timing" | heterogeneity-robust estimator + Bacon decomposition already in the paper | | "Parallel trends is not credible" | clean pre-trend leads + honest-DID sensitivity bound | | "Instrument is not excludable" | institutional + theoretical exclusion argument + falsification tests | | "RD jump is manipulation / bandwidth-driven" | density test + bandwidth sensitivity + donut | | "Effect is just selection / confounding" | Oster δ / coefficient-stability bounds | | "Local/ITT effect ≠ the policy-relevant effect" | explicit estimand + calibrated external-validity discussion | | "Inference too narrow (few clusters)" | wild-cluster bootstrap / randomization inference | | "Mechanism is a black box" | a test that distinguishes the proposed channel from rivals | | "Not reproducible" | the openICPSR package built and referenced (aeja-replication-package) |

Strategy craft

  1. War-game the design. For each identifying assumption, write the sentence a hostile referee would use; if you cannot answer it in one paragraph + one exhibit, that is a hole to fix before submission.
  2. Pre-empt, do not hide. Address the obvious weakness head-on in the text; referees punish papers that ignore the elephant.
  3. Sequence robustness. Put decisive checks in the main paper; hold secondary ones for the appendix/online appendix so the paper stays readable.
  4. Anticipate the external-validity ask. It is almost guaranteed for a local design — have the estimand and scope statement ready.
  5. Make reproducibility visible. A referee who sees a clean package is less inclined to suspect specification search.

The shared, venue-neutral objection catalog is in ../../resources/README.md (links to the empirical-methods hub) — walk it before drafting.

Checklist

  • [ ] Title/byline/front matter align with AEJ: Applied's single-blind process
  • [ ] Each identifying assumption has a written hostile-referee sentence and a one-paragraph+one-exhibit answer
  • [ ] The paper's biggest weakness is addressed in the text, not hidden
  • [ ] Decisive robustness in the main paper; secondary checks in the appendix
  • [ ] Estimand + external-validity scope stated to pre-empt the guaranteed ask
  • [ ] Reproducibility package referenced so specification-search suspicion is defused
  • [ ] Mechanism evidence distinguishes the proposed channel from rivals

Anti-patterns

  • Ignoring the obvious design weakness and hoping no referee notices
  • Writing self-citations or acknowledgments as if the venue required anonymous review
  • Dumping every robustness check into the main text so the paper becomes unreadable
  • No estimand statement, guaranteeing an external-validity round-trip
  • Treating the replication package as someone else's problem until acceptance

Output format

【Front matter】single-blind title/byline and disclosures ready? [Y/N]
【Objection map】per assumption: [objection → pre-emption in paper]
【Biggest weakness】addressed in text? [Y/N] — how: ___
【Robustness placement】main vs appendix split: ___
【External validity】estimand + scope stated? [Y/N]
【Reproducibility visible】package referenced? [Y/N]
【Next step】aeja-submission

Related Skills

View on GitHub
GitHub Stars1.2k
CategoryDevelopment
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