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Jqte Econometric Methods

ASecurity

Use when the empirical core of a 《数量经济技术经济研究》 (JQTE) manuscript is an econometric model — time series, cointegration, mixed-frequency, VAR/SVAR, state-space, or panel / macro-econometrics. Enforces correct model setup, stationarity / unit-root and cointegration diagnostics, and lag/specification justification. Use when the method itself is the contribution rather than a causal identification claim.

1,052 stars
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Added 6/5/2026
ai-agents

Security Analysis

A100/100

Scanned 6/5/2026

Install to Claude Code

$npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill jqte-econometric-methods --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: jqte-econometric-methods
description: Use when the empirical core of a 《数量经济技术经济研究》 (JQTE) manuscript is an econometric model — time series, cointegration, mixed-frequency, VAR/SVAR, state-space, or panel / macro-econometrics. Enforces correct model setup, stationarity / unit-root and cointegration diagnostics, and lag/specification justification. Use when the method itself is the contribution rather than a causal identification claim.
---

# 计量方法(jqte-econometric-methods)

## 触发时机

- 实证主体是时间序列 / VAR / 协整 / 混频 / 状态空间 / 宏观面板
- 模型设定、平稳性、滞后阶交代不清,或被质疑"伪回归"
- 方法本身是贡献(把某模型用到中国数据),而非干净因果

## 设定前必查:数据性质决定模型

| 数据性质 | 必做诊断 | 建模含义 |
|----------|----------|----------|
| 单一时间序列 | 单位根(ADF/PP/KPSS)、结构突变(Zivot-Andrews/Bai-Perron) | 非平稳需差分或协整建模 |
| 多变量时间序列 | 单位根 + 协整(Johansen / EG / ARDL 边界) | 协整存在用 VECM,否则差分 VAR |
| 混频数据 | 频率对齐方式 | MIDAS / 桥接模型 / 状态空间 |
| 宏观/动态面板 | 截面相关、面板单位根、面板协整 | 跨截面相关需 CCE/CSDL;动态面板用 GMM 并查工具有效性 |

## 各类模型的规范要点

### 时间序列 / VAR / SVAR

- 平稳性先于建模:单位根检验 + 必要的结构突变检验
- 滞后阶用信息准则(AIC/BIC/HQ)选并报告,不凭经验拍
- SVAR 的识别约束(递归/长期/符号约束)显式列出并论证
- 报告脉冲响应、方差分解,必要时给稳定性(伴随矩阵特征根 < 1)

### 协整 / VECM / ARDL

- 报告协整秩检验(迹/最大特征根)或 ARDL 边界检验
- 误差修正项符号与显著性、调整速度解读
- 长期与短期关系分开汇报

### 动态面板 / GMM

- 差分/系统 GMM 选择有依据;工具变量个数受控(避免工具过多)
- 报告 AR(1)/AR(2) 序列相关检验与 Hansen/Sargan 过度识别检验
- 内生变量、外生变量、工具集划分清楚

## 自检清单

- [ ] 先验平稳性/单位根,再建模(防伪回归)
- [ ] 滞后阶/协整秩用准则选并报告
- [ ] 识别约束(SVAR)或工具有效性(GMM)显式论证
- [ ] 报告了必要的诊断(残差自相关、稳定性、过度识别)
- [ ] 方法的适用条件与局限有交代

## 反模式

- 直接对非平稳序列跑 OLS/VAR,不验单位根(伪回归)
- 滞后阶凭经验定,不报准则
- 动态面板工具变量爆炸,Hansen 检验 p 值接近 1 仍不警觉
- 报一堆系数却不解读长期/短期关系或脉冲响应

## 输出格式

```
【模型】时间序列 / VAR-SVAR / 协整-VECM / 混频 / 动态面板
【平稳性】单位根 □ 结构突变 □ 协整 □
【设定】滞后阶 <准则> / 识别约束 <…> / 工具有效性 <…>
【诊断】自相关 □ 稳定性 □ 过度识别 □
【适用条件】<已交代 / 待补>
【下一步】jqte-forecasting / jqte-sensitivity
```

Attribution

brycewang-stanfordbrycewang-stanford
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3 founder slots · $299/mo · GSC-verified traffic · sponsors can never buy grades.

See placements

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