技能 数据科学 学术论文修改回应信撰写指南

学术论文修改回应信撰写指南

v20260724
mksc-rebuttal
本指南详细介绍了论文经历“修改和重投”(R&R)周期后,如何撰写专业、完整的回应信和反驳材料。它指导作者掌握从结构到战术的完整流程,学习如何逐点回复审稿意见,增强模型的识别性,处理反事实和冲突要求,确保提交的学术严谨性。
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概览

R&R Response & Rebuttal (mksc-rebuttal)

When to trigger

  • You received an MKSC R&R and have planned the revision (via mksc-review-process)
  • You have actually made (or scoped) the manuscript and code changes and need to write the response
  • You must reconcile conflicting reviewer demands for the AE
  • A later-round decision asks you to defend or extend prior changes

Write the response after revising the manuscript and re-running the analysis — it documents changes, not promises. The process is developmental and typically multi-round; resubmit the revised manuscript, response document, and updated replication materials through ScholarOne (mc.manuscriptcentral.com/mksc), keeping the same handling team where possible and the manuscript blinded.

Response-document structure

  1. Opening letter to the Senior/Associate Editor. Thank the team; summarize the most important changes in 2–4 sentences; explicitly address the AE's prioritized concerns. Note where reviewers conflicted and how you resolved it. (The cover letter/response is seen by the Editor/AE; keep the manuscript anonymized.)
  2. Per-reviewer sections. Restate every comment (numbered/faithfully), then respond.
  3. Point-by-point format: CommentResponse (what you did and the modeling/econometric reasoning) → Location (section/table). Quote new manuscript text where helpful.

Responding to MKSC's signature demands

  • "Identification is not credible." Add the explicit identification argument, stronger/alternative instruments, a sensitivity-of-estimates analysis, or a Monte Carlo recovering known parameters — and explain why it resolves the concern (see mksc-data-analysis).
  • "The model is too restrictive / an assumption drives the result." Relax the assumption and re-estimate, or show the result is robust to it; report the new comparative static/counterfactual.
  • "The counterfactual is not valid." Re-solve allowing firms to re-optimize, report magnitudes with uncertainty, and bound the scope of validity.
  • "Computation / multiple equilibria." Report solver settings, convergence, multiple starting values, and how multiplicity is handled.
  • "Replication." Update the data-and-code package; confirm the master script reproduces every revised table/figure/counterfactual.
  • Adding analysis vs. length. Heavy new derivations or robustness usually live in the online appendix; for a Frontiers paper, the 6,000-word total cap still binds, so move detail online.

Before/after: answering the signature "identification" objection

The modal MKSC first-round comment is some form of "I am not convinced the model identifies the effect." Compare responses:

  • Weak (citation-padding, will draw a second round): "We thank the reviewer. We have added references to prior structural work establishing that this class of models is identified (Section 3)."
  • Strong (re-analysis, closes the point): "We agree the argument was implicit. We now (i) state the exclusion restriction explicitly — cost shifter Z shifts supply but not demand conditional on our controls (Section 3.2); (ii) add a Monte Carlo that recovers the known parameters from simulated data within 3% (Appendix C.1); and (iii) report a sensitivity analysis showing the counterfactual moves less than 5% as we perturb the restriction (Table C4). Together these address the concern that [assumption] drove the estimate."

The strong version does real work — an explicit restriction, a recovery experiment, and a sensitivity bound — and tells the AE exactly where each lives.

Reconciling conflicting reviewers for the AE

When reviewers pull in opposite directions (R1: "the model is too stylized"; R2: "the model is over-parameterized"), do not silently satisfy one. State the trade-off to the AE, choose a resolution, and justify it: e.g., "We keep the parsimonious specification R2 favored and add R1's richer variant as a robustness check in Appendix D, showing the main counterfactual is unchanged." Surfacing the conflict with a defended choice reads as judgment; picking a side silently reads as evasion.

Tone and tactics

  • Be respectful and substantive; concede gracefully and make the change.
  • Disagree with evidence (an alternative estimation, a robustness result), not assertion.
  • Address every point; silent omissions read as evasion.
  • Surface reviewer conflicts to the AE with your chosen resolution.

Checklist

  • Manuscript and code actually revised before the letter was written
  • AE's prioritized concerns addressed first and explicitly
  • Every reviewer comment restated and answered, with locations
  • Identification / assumption / counterfactual demands met with real re-analysis
  • Computation and replication-package updates documented
  • Declined requests justified with evidence and an alternative test
  • Manuscript stays blinded; length/Frontiers cap respected

Anti-patterns

  • Writing the response before re-running the analysis.
  • Answering "deepen identification" by adding citations instead of re-estimating.
  • A counterfactual left unchanged when firm re-optimization was the objection.
  • Skipping an inconvenient comment or de-blinding the manuscript.

Output format

【Round】1st R&R / 2nd / ...
【AE priorities addressed】1... 2... 3...
【Per-reviewer coverage】R1 x/x, R2 x/x, R3 x/x — all answered?
【Major changes】model/identification: ... counterfactual: ... computation: ...
【Replication】updated package reproduces revised exhibits?
【Declined + justification】...
【Status】drafted / final → resubmit via ScholarOne
【Next step】on next decision → mksc-review-process
信息
Category 数据科学
Name mksc-rebuttal
版本 v20260724
大小 6.02KB
更新时间 2026-07-28
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