---
name: empirical-design-b7042ebb493b
description: 基于已摄取文献和本地数据，生成经管实证研究设计：问题、机制、变量、模型、识别、机制、异质性、稳健性
argument-hint: "<research-question-or-topic>"
---

# /empirical-design

> 从 wiki 知识库生成一份可落地的实证研究方案。它连接文献阅读和数据处理，不负责替用户发明 idea。

## Workflow

### Step 1: Read Project Context

读取：

- `wiki/graph/context_brief.md`
- `wiki/papers/*.md`
- `wiki/variables/*.md`
- `wiki/datasets/*.md`
- `wiki/models/*.md`
- `wiki/mechanisms/*.md`
- `wiki/identification/*.md`
- `wiki/robustness/*.md`
- `wiki/heterogeneity/*.md`
- 项目根目录和上级目录中的 `README.md`
- `raw/notes/research-intent.md`（如果存在）

### Step 2: Produce the Design

输出结构：

```markdown
# 实证研究设计

## 1. 研究问题
## 2. 文献定位
## 3. 理论机制
## 4. 研究假设
## 5. 变量设计
## 6. 数据来源与样本构造
## 7. 基准模型
## 8. 识别策略与内生性风险
## 9. 机制检验
## 10. 异质性检验
## 11. 稳健性检验
## 12. 预期表格结构
## 13. 数据缺口清单
## 14. 下一步操作
```

每个关键判断都要引用 wiki 页面，如 `[[耐心资本]]`、`[[耐心资本对企业esg表现的影响研究]]`。

### Step 3: Archive

写入：

```text
wiki/outputs/empirical-design-{slug}-{YYYY-MM-DD}.md
```

追加日志并建议是否继续运行 `/stata-plan`。

## Constraints

- 明确区分“文献已有做法”和“本项目建议做法”。
- 对内生性风险要具体，不写空泛的“可能存在内生性问题”。
- 如果本地数据不足，要列出缺口，不要假装可做。
- 不生成最终论文段落；这里输出的是研究设计和执行方案。


---
Source attribution: Lambenthan
Original project: https://github.com/Lambenthan/empiricalwiki/blob/7b9bcbb92049b9e0a23d43f86a455537ce042560/.claude/skills/empirical-design/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Dave AI.

## Upstream license notice

MIT License

Copyright (c) 2026 OmegaWiki Contributors

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Dave AI resource metadata

Creator / publisher: Lambenthan
Original project: https://github.com/Lambenthan/empiricalwiki/blob/7b9bcbb92049b9e0a23d43f86a455537ce042560/.claude/skills/empirical-design/SKILL.md
Attribution basis: Source repository record

Fields of work: Data & Analytics, Education & Research
Roles: Data Analyst, Market Research Analyst, Researcher
Specialties: API
Tools: Google Docs, Notion
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 623123c183932fbf25d1809f7c7c19db1d52058d553df377a586543c1bc72c0a