Skills Data Science Guide to Academic Rebuttal And Revision

Guide to Academic Rebuttal And Revision

v20260724
qe-rebuttal
A detailed guide for authors handling major revisions (R&R) for quantitative economics papers. It structures the entire process, from decoding the coeditor's priorities and classifying referee demands (fundamental, clarification, disagreement), to executing necessary new analyses and drafting a professional, evidence-based response letter that maintains reproducibility and rigor.
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Overview

Rebuttal & Revision (qe-rebuttal)

When to trigger

  • A QE decision letter arrived: revise-and-resubmit, or a conditional/major revision
  • You have referee reports and need a response strategy
  • You are unsure how to prioritize conflicting referee demands
  • The revised manuscript exists and you need to draft the response letter

QE reality: the coeditor's letter is the contract, and the clock runs ~12 months

At QE a handling coeditor owns the decision and synthesizes the referees (often including an Associate Editor). The coeditor's letter ranks the issues — it tells you which referee points are binding and which are optional; read it first and let it set priorities. Revise offers are normally valid for 12 months, so plan the analysis, estimation, and reproducibility work against that window rather than rushing a thin resubmission. Because QE is the empirical/quantitative ES journal, expect referees to probe identification, estimation, robustness, and reproducibility specifically — keep the public-posting and replication obligations in view as you revise.

Triage protocol

  1. Decode the coeditor. A point the coeditor underscores is binding; a point only one referee raised and the coeditor ignored is lower priority (still answer it).
  2. Classify every comment. Tag each: fundamental (must add/redo analysis or estimation), clarification (rewrite/explain), or disagreement (you will push back, politely, with evidence).
  3. Sequence the work. Do the analysis first — route fundamentals to qe-identification-strategy, qe-data-analysis, or qe-tables-figures; update the replication package via qe-replication-and-data-policy; then write the letter.
  4. Settle it with a check, not a fight. If a robustness check, an added moment, or a Monte Carlo settles the point, run it; reserve disagreement for where the referee is genuinely mistaken.

Response-letter structure

  • Opening: thank the coeditor and referees; summarize the main changes in a short paragraph.
  • Point-by-point: quote each comment, then respond — what you did + where in the revised paper it now appears (section/table/figure/page).
  • Disagreements: state the referee's point fairly, then give the evidence-based reason you respectfully differ; offer a compromise (e.g., add to the Supplemental Appendix, ≤25 pages) where possible.
  • Reproducibility: note any changes to data/code so the eventual ES Data Editor check stays clean.
  • Tone: gracious, concrete, never defensive.

Checklist

  • Coeditor's priorities decoded and used to rank responses
  • Every referee comment classified (fundamental / clarification / disagreement)
  • All fundamental requests resolved with actual new analysis/estimation, not promises
  • Each response cites the exact location of the change in the revised paper
  • Disagreements are evidence-based, fair, and offer a compromise
  • Replication package and public posting updated to match the revision
  • Revised manuscript updated before the letter was written
  • No significance asterisks reintroduced; no new over-claiming

Anti-patterns

  • Writing the response letter before the manuscript reflects the changes
  • Promising future work instead of doing the analysis within the ~12-month window
  • Arguing where an added moment / robustness check / Monte Carlo would settle it
  • Letting the replication package drift out of sync with the revised results
  • Defensive or curt tone; treating reports as attacks rather than help

The three QE pushbacks and what actually closes them

These are the recurring quantitative complaints at QE; each is closed by a specific, runnable response — not by prose.

Referee complaint The closing move
"Structural estimates are not credibly identified" add a sensitivity matrix + Monte Carlo recovery; report untargeted-moment fit
"Numerical accuracy is not validated" report tolerances and a grid-refinement check; show headline stability
"Quantitative results not robust to specification" re-estimate under alternative moments/sub-samples; tabulate the movement

Worked vignette: triaging a QE major-revision letter (illustrative)

Suppose the coeditor underscores Referee 1's identification concern, treats Referee 2's request for a robustness table as binding, and notes Referee 3's framing quibble as optional. Triage: tag identification fundamental (run the sensitivity matrix, route to qe-identification-strategy), tag the robustness table fundamental (re-estimate across three moment sets), tag the framing clarification (a paragraph rewrite). Suppose the headline elasticity moves from 0.42 to 0.39 (s.e. 0.05) across specifications — report that explicitly; a stable number under scrutiny is the strongest rebuttal. (Numbers illustrative.) Only after the manuscript reflects all three do you write the point-by-point letter with exact section/table locations.

Output format

【Decision】R&R / major / conditional
【Coeditor's binding points】[...]
【Comment classification】fundamental: [...] / clarification: [...] / disagreement: [...]
【Analysis routed to】qe-identification-strategy / qe-data-analysis / qe-tables-figures
【Letter status】point-by-point with locations? [Y/N]
【Reproducibility synced】package + posting updated? [Y/N]
【Next step】resubmit via the ES portal (qe-submission for file checks)
Info
Category Data Science
Name qe-rebuttal
Version v20260724
Size 5.66KB
Updated At 2026-07-29
Language