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Cre Mechanism

ASecurity

Use when designing or writing mechanism analyses for a 《中国农村经济》 empirical manuscript. Mechanism tests grounded in household-level behavior are near-mandatory for empirical submissions.

1,052 stars
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Added 6/4/2026
ai-agents

Security Analysis

A100/100

Scanned 6/4/2026

Install to Claude Code

$npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill cre-mechanism --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: cre-mechanism
description: Use when designing or writing mechanism analyses for a 《中国农村经济》 empirical manuscript. Mechanism tests grounded in household-level behavior are near-mandatory for empirical submissions.
---

# 机制分析(cre-mechanism)

## 触发时机

- 主回归结果已稳健,但缺机制分析
- 机制只有"我们认为可能是因为农户……"的口头说明
- 审稿人问"为什么这项农村政策 / 行为会有这个效应?"

## 农村研究的机制必须落到微观主体

《中国农村经济》的机制分析忌讳停留在宏观叙事。机制变量应落到**农户 / 家庭 / 经营主体 / 村庄**的可观测行为或资源配置上,例如:

- 要素配置:劳动力分工、土地经营规模、资本 / 信贷投入
- 行为决策:生产技术采用、外出务工、合作社参与、风险应对
- 收入结构:经营性 / 工资性 / 转移性 / 财产性收入的此消彼长
- 村庄层面:基础设施、公共服务、社会网络 / 集体经济

## 三种主流路径

### 路径 A:中介效应 / 调节效应

- 经典 Baron & Kenny 已被弱化 → 推荐 Bootstrap + 直接估计 + 因果中介(imai-keele-yamamoto)
- 不要只跑 Sobel 检验
- 推荐报告:直接效应、间接效应、效应占比

### 路径 B:替换被解释变量为机制变量(本刊最常见)

- 主回归:农村政策 / 行为 → Y(如农户收入 / 生产率)
- 机制:政策 / 行为 → M(M 为农户层面的中间机制变量,如劳动配置、信贷可得性、技术采用)
- 然后讨论 M → Y 的合理性(理论 / 已有三农文献)

### 路径 C:跨子样本对比

- 在"机制成立"和"机制不成立"的农户 / 村庄子样本中分别估计
- 如果系数有显著差异 → 构成机制证据
- 需要 Chow 检验或交互项确认系数差异显著

## 机制写作三段式

```
本文进一步从[机制名,落到农户 / 村庄行为]角度提供证据。
首先,从理论上看,[机制变量 M] 应通过[路径]影响[因变量 Y]……
其次,实证上,本文采用[路径 A/B/C]:……,估计结果如表 X 所示。
最后,结合[已有三农文献],本文认为该机制在中国农村情境下……。
```

## 机制设计三原则

1. **理论指引**:机制变量必须能挂上农户行为 / 土地制度 / 农村金融等理论
2. **时间一致**:机制变量 M 的测量时点要在处理 D 之后、结果 Y 之前(农户面板尤其要注意调查年份的先后)
3. **可证伪**:能写出"如果机制成立 → 应观察到农户在 X 上变化;如果不成立 → 应观察到 Y"

## 必查清单

- [ ] 至少 1 个机制(理想 2–3 个互补机制)
- [ ] 机制变量落到农户 / 家庭 / 经营主体 / 村庄层面,且来源于理论 / 已有三农文献
- [ ] 机制变量构造时间逻辑正确(不使用未来信息 / 后一轮调查数据反推)
- [ ] 机制部分至少 1 张独立的回归表
- [ ] 机制结果与主回归一致(不能机制证伪了主结论)

## 反模式

- 用"我们认为可能是因为农户更勤劳 / 政策好" 一句话代替机制分析
- 机制停留在宏观叙事("促进了城乡融合"),不落到农户可观测行为
- 中介效应只跑 Sobel 检验
- 机制变量与处理变量构造时使用了未来轮次调查信息
- 机制结果反向(机制变量与主效应方向相反)但不解释

## 输出格式

```
【机制数】X 个
【机制路径】A 中介 / B 替换 Y / C 子样本
【机制层面】农户 / 家庭 / 经营主体 / 村庄
【理论引用】[三农文献]
【时间一致性】通过 / 待修
【下一步】cre-heterogeneity
```

Attribution

brycewang-stanfordbrycewang-stanford
View sourceMore from brycewang-stanford →
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