Agent skill · Data & Analytics

jqte-rebuttal

Use when responding to peer-review / R&R comments on a 《数量经济技术经济研究》 (JQTE) manuscript — structuring a point-by-point response letter that addresses the journal's characteristic concerns (method transparency, measurement / parameter sensitivity, out-of-sample evaluation, CGE/IO reproducibility, data caliber) and reframing weak-causal pushback toward the paper's real measurement contribution. Use only after the manuscript itself is revised.

brycew6m4,252★ · +31/wk · 3 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jqte-rebuttal --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 3 KB
Bundled scripts: none
Path: Journal-of-Quantitative-and-Technological-Economics-Skills/skills/jqte-rebuttal/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 外审回复(jqte-rebuttal) ## 触发时机 - 收到 JQTE 外审 / R&R 意见,需要写回复信 - 意见集中在方法透明度、敏感性、样本外评估、可复现、数据口径 - 审稿人用"识别不干净"质疑,但本文贡献其实是测度/方法 ## 回复信结构 1. **开头致谢 + 总览**:感谢,并用一段说明主要修改方向(对应哪些核心关切)。 2. **逐条回应**:每条意见 → 回应 → 正文修改位置(页/段/表号)。 3. **无法照办的项**:礼貌说明理由(数据限制、方法适用边界),给出替代方案,不硬顶也不空应付。 ## 本刊高频意见与应对 | 审稿意见类型 | 应对要点 | |--------------|----------| | "方法构造不透明/无法复现" | 补充设定、参数来源、数据口径;必要时附复现说明或代码可得性 | | "换个方法/参数结论会不会变" | 补敏感性矩阵(`jqte-sensitivity`),给取值区间与秩稳定性 | | "预测只有样本内拟合" | 补样本外评估 + 基准对比 + DM 检验(`jqte-forecasting`) | | "CGE 弹性/闭合无依据" | 逐项给弹性来源、说明闭合并做参数敏感性(`jqte-io-cge`) | | "因果识别站不住" | 若贡献是测度/方法,**重定位**为测度贡献、淡化因果话术(`jqte-fit-positioning`);若坚持因果,按现代规范补 | | "数据口径存疑" | 说明来源、平减、基期,必要时换口径复核 | ## 应对"识别不干净"的特别提示 本刊不强求干净因果。**若审稿人按因果刊标准苛求识别,而本文真正贡献是测度/方法/预测**,应礼貌地把贡献重新框定为测度/方法应用,并指出相应的稳健性已通过敏感性而非安慰剂来保障——而不是硬补一个站不住的工具变量。 ## 自检清单 - [ ] 逐条回应,无遗漏;每条标注正文修改位置 - [ ] 方法透明度/可复现的质疑已用具体补充回应 - [ ] 敏感性/样本外评估等"本刊关切"已正面补齐 - [ ] 被质疑因果时,正确区分"重定位测度贡献"还是"补识别" - [ ] 无法照办项有理由 + 替代方案 - [ ] 语气专业、对事不对人 ## 反模式 - 嘴上答应改、正文没改(审稿人会复核) - 对"无法复现"的质疑空泛辩解,不给具体补充 - 被质疑识别就硬塞一个弱工具变量,而非重定位为测度贡献 - 逐条变成情绪化辩论 ## 本刊外审意见处置矩阵 《数量经济技术经济研究》双向匿名审稿,意见集中在方法透明、参数敏感性、样本外评估、CGE/IO 可复现、数据口径。 | 意见类型(本刊语境) | 正确动作 | 错误动作(会被复核打回) | |----------------------|----------|------

What's inside
Steps it walks through
  1. 触发时机
  2. 回复信结构
  3. 本刊高频意见与应对
  4. 应对"识别不干净"的特别提示
  5. 自检清单
  6. 反模式
  7. 本刊外审意见处置矩阵
  8. 微型走查:一封 R&R 回复的关键段(示意)
  9. 审稿人追问模式 + 本刊语境修法
  10. 校准锚点
  11. 输出格式
More from Awesome-Journal-Skills
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About this skill
What does the jqte-rebuttal skill do?

Use when responding to peer-review / R&R comments on a 《数量经济技术经济研究》 (JQTE) manuscript — structuring a point-by-point response letter that addresses the journal's characteristic concerns (method transparency, measurement / parameter sensitivity, out-of-sample evaluation, CGE/IO reproducibility, data caliber) and reframing weak-causal pushback toward the paper's real measurement contribution. Use only after the manuscript itself is revised.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill jqte-rebuttal --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going