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Ceq Identification

ASecurity

Use when the identification strategy is the bottleneck for a 《经济学(季刊)》 (China Economic Quarterly, CEQ) manuscript — either a structural model with credible parameters, or a clean quasi-experiment (DID / IV / RDD / event-study). CEQ is the strictest Chinese econ journal here; identification assumptions must be made explicit and each defended. Stress-test the design before drafting exhibits.

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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 ceq-identification --agent claude-code

Installs into .claude/skills of the current project.

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Files
SKILL.md
---
name: ceq-identification
description: Use when the identification strategy is the bottleneck for a 《经济学(季刊)》 (China Economic Quarterly, CEQ) manuscript — either a structural model with credible parameters, or a clean quasi-experiment (DID / IV / RDD / event-study). CEQ is the strictest Chinese econ journal here; identification assumptions must be made explicit and each defended. Stress-test the design before drafting exhibits.
---

# 识别策略(ceq-identification)

## 触发时机

- 实证主体仅 OLS + 控制变量,把相关性当因果
- 有处理/外生变异,但识别假设没写清、没逐条辩护
- 拿不准走结构估计还是准实验路线

## CEQ 的铁律:要么结构,要么准实验

CEQ 不接受"加一堆控制变量就声称因果"。两条合法路径:

- **结构估计**:微观基础清晰、识别假设显式、参数有经济含义、能做反事实。
- **准实验**:DID / IV / RDD / event-study,外生变异来源可信、识别假设可检验。

**识别假设必须显式写出,并逐条给经验支持**——这是 CEQ 与多数国内刊的最大差异。

## 设计优先级(强 → 弱)

1. 政策冲击 + DID(含交错/连续处理,须过 `ceq-modern-did`)
2. 断点回归(清晰政策门槛)
3. 工具变量(强工具 + 排他性论证)
4. 倾向得分匹配 + DID
5. 合成控制法
6. 双重机器学习 / 因果森林
7. OLS + 严密内生性讨论(仅在结构/理论实证文章中可接受)

## 分支自检

### DID(→ 详见 ceq-modern-did)
- [ ] 交错处理已用 Callaway–Sant'Anna / de Chaisemartin–D'Haultfœuille / Sun–Abraham
- [ ] 平行趋势:事件研究图必画(见 `ceq-figures`)
- [ ] 安慰剂(随机处理时点/对象)已做

### IV
- [ ] 第一阶段 F 报告,弱工具走 weak-IV-robust(见 `ceq-inference`)
- [ ] 排他性论证 ≥ 3 段(理论/制度/安慰剂)
- [ ] 报告了 reduced form;工具本身外生性有论证

### RDD
- [ ] McCrary / 密度操纵检验
- [ ] 最优带宽(CCT)+ ≥3 个带宽稳健性
- [ ] 协变量在断点处平滑

### 结构估计
- [ ] 识别假设逐条列出并辩护
- [ ] 参数有经济含义、估计稳定
- [ ] 提供反事实 / 福利分析

## 通用必查

- [ ] 识别假设**显式成文**,每条配经验支持
- [ ] 标准误聚类层级有理由(见 `ceq-inference`)
- [ ] 回应"被处理者预期/提前反应"问题
- [ ] 安慰剂/平行趋势/敏感性是**标配而非加分**

## 反模式

- "我们认为该政策外生"却无任何证据
- TWFE + 交错处理不讨论异质性偏误
- IV 用"外生事件 × 上一期内生变量",说不清为何上一期不影响当期
- RDD 用截断带宽但不汇报带宽敏感性
- 把稳健性当摆设,不汇报不利结果

## 输出格式

```
【识别策略】结构 / DID / IV / RDD / DML / 仅相关(需补)
【识别假设是否显式】是 / 否 <补>
【已完成检验】[平行趋势, 安慰剂, 弱工具, 密度, ...]
【缺失检验】[...]
【下一步】ceq-modern-did(若 DID)/ ceq-inference / ceq-mechanism
```

Attribution

brycewang-stanfordbrycewang-stanford
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