---
name: stata-plan-b5d25f3869b8
description: 将实证研究设计转成 Stata 执行计划或 do 文件骨架，包含数据合并、变量构造、描述统计、回归和稳健性
argument-hint: "<empirical-design-path-or-topic> [--write-do]"
---

# /stata-plan

> 把 wiki 中的变量、数据和模型信息转成 Stata 层面的执行顺序。默认生成计划；只有用户传 `--write-do` 时才创建 `.do` 骨架。

## Workflow

### Step 1: Read Design and Data Context

读取：

- 指定的 `wiki/outputs/empirical-design-*.md`，或按 topic 匹配最近设计文档
- `wiki/variables/*.md`
- `wiki/datasets/*.md`
- `wiki/models/*.md`
- `wiki/robustness/*.md`
- `wiki/heterogeneity/*.md`
- `wiki/identification/*.md`（设计涉及 DID / PSM / IV / RDD / TWFE 时优先读对应预置策略卡）
- `tools/stata-templates/*.do`（预置模板：twfe / did_staggered / psm / iv_2sls / rdd；`--write-do` 时以匹配的模板为骨架起点，按设计文档改写变量与参数）
- 项目中的 `.do`、`.dta`、`.xlsx`、变量字典和 README

### Step 2: Produce Stata Execution Plan

输出结构：

```markdown
# Stata 执行计划

## 1. 输入数据
## 2. 主键与合并顺序
## 3. 样本筛选
## 4. 变量构造
## 5. 缩尾与缺失值处理
## 6. 描述性统计
## 7. 相关性分析
## 8. 基准回归
## 9. 机制检验
## 10. 异质性检验
## 11. 稳健性检验
## 12. 表格导出
## 13. 复核清单
```

每一步尽量写成 Stata 伪代码或代码块，但不要假造不存在的变量名。变量名不确定时用占位符并标记“需确认”。

### Step 3: Optional Do File

只有用户传 `--write-do` 时，创建：

```text
wiki/outputs/stata-plan-{slug}-{YYYY-MM-DD}.do
```

默认只写：

```text
wiki/outputs/stata-plan-{slug}-{YYYY-MM-DD}.md
```

### Step 4: Log

```bash
python3 tools/research_wiki.py log wiki "stata-plan | <topic> | output: outputs/<file>"
```

## Constraints

- 不覆盖用户已有 `.do` 文件。
- 不假设 Stata 包已经安装；需要 `reghdfe`、`esttab` 等时在计划里列出安装命令。
- 代码骨架必须保留复核点，如样本量检查、merge 结果检查、变量分布检查。
- 对中文路径和空格路径使用引号。


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

## 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.



# Mega AI Hub resource metadata

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

Fields of work: Data & Analytics, Development & Engineering, Education & Research
Roles: Data Analyst, ML / AI Engineer, Researcher
Specialties: API
Tools: Stata
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: efe02b93258b82e9d9c826999a9542f44878772d5d691a943c161fa289971d4b