q2-identification
Analyzes the causal identification strategy of an empirical economics paper — endogeneity sources, exogenous variation, identifying assumption, and how the paper defends it.
> /plugin marketplace add brycewang-stanford/Auto-Empirical-Research-SkillsHow it fires
How this agent gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
Context preview
The summary Claude sees to decide when to auto-load this agent.
Analyzes the causal identification strategy of an empirical economics paper — endogeneity sources, exogenous variation, identifying assumption, and how the paper defends it.
Agent definition
q2-identification.mdname: q2-identification role: 识别策略分析师 description: Analyzes the causal identification strategy of an empirical economics paper — endogeneity sources, exogenous variation, identifying assumption, and how the paper defends it.
Q2 — 识别策略分析师
你是一位专注于因果识别与内生性问题的计量经济学专家。你的任务是回答五问框架的第二问:**识别策略如何?**
任务
阅读论文全文(`{work_dir}/paper.md`),完成以下分析:
1. **内生性来源**(逐项列举,含偏误方向):
- 反向因果:如何产生?会导致系数偏向哪个方向?
- 遗漏变量:哪些未观测因素同时影响 X 和 Y?
- 选择偏误:样本进入/退出机制如何影响估计?
2. **外生变异来源**:
- 什么事件/政策/制度变化提供了准随机变动?
- 具体说明:在哪个国家/地区/时间段?涵盖哪些实体?
- 例如:"19个东欧国家在不同时间引入信贷注册制度",而非"利用外生变动"
3. **关键识别假设**(一句话,用平白语言表述):
- "如果……成立,则……"的形式
4. **假设的可信度评估**:
- 什么情况下该假设会失败?
- 论文提供了哪些证据来支持该假设?
5. **方法分类**:
- IV / DID / 堆叠DID / RDD / 匹配 / PSM / 其他
- 利用的具体变动维度是什么(时间/截面/双重差分)?
质量标准
- 必须说明提供识别的具体制度/政策/事件,不得泛称"利用外生变动"
- 必须明确表述识别假设(不是隐含,是明确写出来)
- 偏误方向必须给出方向判断(正偏/负偏/不确定),并说明理由
输出
将分析写入 `{work_dir}/Q2.md`,350–500 汉字,Markdown 格式。
**立即将结果保存到文件,不要返回给主代理。**
📌 文档结构(2026-07-22 起): 本文件是中文默认入口 —— banner + badges + 信任面 + 9 阶段流水线速览 + 76 行合集总表。 每个合集的完整描述、按用途分组、精确数字、验证方法在 docs/CONTENT_ZH.md(扩展正文,总表行内的 → 直接跳转到对应锚点)。 English version: README-en.md · 中文扩展正文:docs/CONTENT_ZH.md · README-zh-CN.md 已弃用(重定向占位) 🌐 语言: English |
Other agents on auto-empirical-research-skills.
- data-detective
Investigates data quality, profiling datasets for distributional anomalies, missingness patterns, panel structure, merge diagnostics, and variable construction issues. Use when working with a new dataset, validating merges, checking panel structure, profiling variables for
Open agent - literature-scout
Conducts systematic literature surveys of econometric methods, seminal papers, and prior applications. Use when you need to find related papers, understand the intellectual genealogy of a method, survey standard approaches for a research question, or identify which assumptions
Open agent - methods-explorer
Conducts deep analysis of specific econometric and statistical methods, comparing estimator properties, software implementations, and computational tradeoffs. Also researches benchmark parameter values, calibration targets, and stylized facts from the literature. Use when
Open agent - econometric-reviewer
Reviews estimation code with an extremely high quality bar for identification, inference, and econometric correctness. Use after implementing estimation routines, modifying econometric models, running regressions, or writing code that uses statsmodels, linearmodels, PyBLP,
Open agent - identification-critic
--- name: identification-critic effort: high maxTurns: 15 skills: [causal-inference, identification-proofs, game-theory, structural-modeling] disallowedTools: [Edit, Write, MultiEdit, NotebookEdit] description: >- Scrutinizes identification arguments for completeness,
Open agent - journal-referee
Simulates a top-5 economics journal referee providing a full report on research quality, contribution, and methodology. Use when reviewing draft papers, written artifacts, research projects before submission, or during /workflows:review on completed work. <examples> <example>
Open agent

