Skip to content
cccskills
FreePublished on GitHub

aeja-rebuttal

Use when an American Economic Journal: Applied Economics (AEJ: Applied) decision letter arrives (R&R or conditional accept) and a response-to-referees letter plus a revision plan must be drafted. Plans and structures the response; it does not run the new analysis (aeja-identification / aeja-robustness) or the submission preflight.

The English summary is being prepared. Showing the original description.

See how to install

Files included (1)

  • SKILL.md4.9 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Rebuttal & Response Letter (aeja-rebuttal)

When to trigger

  • An AEJ: Applied R&R or conditional acceptance decision letter has arrived
  • You need to triage referee comments into must-do / argue / defer
  • You are drafting the response-to-referees document and revision plan
  • A reject-and-resubmit invitation needs a strategy before re-engaging

How to read an AEJ: Applied decision

The editor's letter is the priority signal: it tells you which referee concerns are binding and which are optional. At AEJ: Applied the binding asks are almost always about design credibility (the identification, robustness, inference) before exposition. Address the editor's stated priorities first and in full; treat the referee reports as the menu the editor has already filtered. A revision is judged on whether the identification concerns are genuinely resolved, not on volume of new tables.

Response-letter structure

  1. Opening summary — thank the editor/referees; state the 3–5 substantive changes that define the revision (lead with the identification/robustness changes).
  2. Point-by-point — quote each comment, then respond with: what you did, where in the paper (section/table/page), and the result. Use a consistent format per point.
  3. Tone — gracious, concrete, non-defensive. Concede valid points fully; where you disagree, argue with evidence, not assertion.
  4. Triage discipline — every comment gets one of: done (changed + located), partially done (with reason), or respectfully declined (with an evidence-based argument). No comment is ignored.
  5. Highlight the decisive evidence — if a referee doubted the design, show the new heterogeneity-robust estimate / honest-DID bound / falsification result explicitly and quote the new number with its SE.

Triage table

Referee askDefault response
Core identification doubt (binding per editor)do it in full; show the new estimate + SE; update the paper
Robustness/inference requestrun it; report stability of the point estimate
External-validity / estimandadd a calibrated scope statement; do not overclaim
Additional outcome/subgrouprun with MHT adjustment; or argue why it is out of scope
Exposition / framingrevise; cheap to do, builds goodwill
Out-of-scope new paperrespectfully decline with a one-line reason

Checklist

  • Editor's stated priorities identified and addressed first, in full
  • Every referee comment answered: done / partial / declined — none ignored
  • Each "done" response cites the exact section/table/page and the new result
  • Decisive identification/robustness evidence quoted with numbers and SEs
  • Tone gracious and concrete; disagreements argued with evidence
  • Replication package updated to match the revised exhibits (aeja-replication-package)
  • A short cover note to the editor summarizing how the binding concerns were resolved

Worked vignette (illustrative)

Referee 2 says the staggered-DID estimate is biased and the parallel-trends story is thin; the editor's letter flags this as the binding concern. A weak response argues that TWFE "should be fine here." The AEJ: Applied response: re-estimate with Callaway–Sant'Anna, report the new ATT of 3.1pp (s.e. 0.9, vs. 3.6pp under TWFE), add the event-study leads and a Goodman-Bacon decomposition, and run an honest-DID bound — then in the letter quote the new number, cite the exact figure/table, and note the conclusion is unchanged but now robust. The editor sees the binding concern fully resolved with evidence, not assertion.

Anti-patterns

  • Answering the referees but ignoring the editor's prioritization
  • Defensive or dismissive tone; arguing by assertion instead of new evidence
  • Claiming a change without saying where in the paper it landed
  • Adding a wall of new tables that dodges the actual identification concern
  • Letting the replication package drift out of sync with the revised paper
  • Silently dropping a comment you found inconvenient

Output format

【Decision type】R&R / conditional accept / reject-and-resubmit
【Editor priorities】[binding asks, in order]
【Triage】done: [...] | partial: [...] | declined (with reason): [...]
【Decisive evidence】new identification/robustness result + number(SE) + location
【Tone check】gracious, concrete, evidence-based? [Y/N]
【Package sync】replication updated to match revision? [Y/N]
【Next step】aeja-submission (resubmit) → re-enter aeja-workflow if further rounds

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

Use when packaging AAAI code, data, multimedia appendices, technical appendices, reproducibility evidence, and post-acceptance artifact releases without violating double-blind or immutable-supplement rules.

The English summary is being prepared. Showing the original description.

brycewang-stanford/Awesome-Journal-Skills1.3KUpdated Sep 27, 2026

Use when drafting an AAAI author response (rebuttal) under the single short character-limited author-feedback window, the no-URL rule, no-new-results guidance, AI-generated-review handling, and the AAAI two-phase review process where Phase-2 papers receive one feedback round before SPC/AC discussion.

The English summary is being prepared. Showing the original description.

brycewang-stanford/Awesome-Journal-Skills1.3KUpdated Sep 27, 2026

Use when preparing an accepted AAAI paper for camera-ready source submission to AAAI Press, including proceedings page limits, two-column template compliance, copyright transfer, purchased extra technical pages, deanonymization, registration, oral or poster presentation, and final public artifact release.

The English summary is being prepared. Showing the original description.

brycewang-stanford/Awesome-Journal-Skills1.3KUpdated Sep 27, 2026

Use when designing or auditing AAAI experiments for the broad-AI program committee, including baselines, ablations, statistical significance, robustness, human evaluation, AI-for-Social-Impact and alignment/safety evidence, compute and cost reporting, and reproducibility-checklist alignment for Phase-1 survival.

The English summary is being prepared. Showing the original description.

brycewang-stanford/Awesome-Journal-Skills1.3KUpdated Sep 27, 2026

Use when positioning an AAAI paper's novelty against archival work, contemporaneous arXiv or workshop papers, and AAAI/IJCAI/NeurIPS/ICML/ICLR neighbors across the broad AI scope, while staying inside AAAI's dual-submission and AI-as-source policy constraints and writing a related-work section legible to non-specialist reviewers.

The English summary is being prepared. Showing the original description.

brycewang-stanford/Awesome-Journal-Skills1.3KUpdated Sep 27, 2026

Use when strengthening an AAAI paper's reproducibility checklist (placed after references), experimental traceability, seed and hyperparameter reporting, compute and cost disclosure, dataset access and licensing, code/data ZIP readiness, and the claim-to-evidence map that Phase-1 reviewers use to judge rigor across AAAI's broad AI scope.

The English summary is being prepared. Showing the original description.

brycewang-stanford/Awesome-Journal-Skills1.3KUpdated Sep 27, 2026

See all skills by brycewang-stanford

Report a problem with this skill