Agent skill

Mw Mechanism Heterogeneity

by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills

用于为《管理世界》实证稿件设计与撰写机制检验和异质性分析,从"政策有效"走向"为何有效、对谁有效"。Use when 主回归已稳健但缺机制证据、异质性切分颗粒度不够(只切国企/非国企或东中西)、中介只跑 Sobel、或审稿人追问"为什么会有这个效应"时使用。锚定《管理世界》国务院发展研究中心主办、管理学与经济学并重、规范的机制检验与企业微观异质性传统,落实因果中介、有理论指引的分层切分与系数差异…

MITAuto-check passed

Install Mw Mechanism Heterogeneity

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill mw-mechanism-heterogeneity -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills mw-mechanism-heterogeneity --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Journal-of-Management-World-Skills/skills/mw-mechanism-heterogeneity .claude/skills/mw-mechanism-heterogeneity && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
mw-mechanism-heterogeneity
GitHub stars
1.2k
Token cost
~727 tokens
SKILL.md length
186 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

用于为《管理世界》实证稿件设计与撰写机制检验和异质性分析,从"政策有效"走向"为何有效、对谁有效"。Use when 主回归已稳健但缺机制证据、异质性切分颗粒度不够(只切国企/非国企或东中西)、中介只跑 Sobel、或审稿人追问"为什么会有这个效应"时使用。锚定《管理世界》国务院发展研究中心主办、管理学与经济学并重、规范的机制检验与企业微观异质性传统,落实因果中介、有理论指引的分层切分与系数差异…

  • Works in 3 steps: 中介效应 / 调节效应回归 → 替换被解释变量为机制变量 → 跨子样本对比
  • SKILL.md covers 触发时机, 机制分析(Mechanism), 异质性分析(Heterogeneity) and 必查清单, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Mw Mechanism Heterogeneity is an agent skill from brycewang-stanford/Awesome-Journal-Skills. 用于为《管理世界》实证稿件设计与撰写机制检验和异质性分析,从"政策有效"走向"为何有效、对谁有效"。Use when 主回归已稳健但缺机制证据、异质性切分颗粒度不够(只切国企/非国企或东中西)、中介只跑 Sobel、或审稿人追问"为什么会有这个效应"时使用。锚定《管理世界》国务院发展研究中心主办、管理学与经济学并重、规范的机制检验与企业微观异质性传统,落实因果中介、有理论指引的分层切分与系数差异检验,几乎所有本刊实证投稿都需要本环节。 本技能服务于《管理世界》(Management World, MW)。

Its SKILL.md is about 730 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的… The licence is MIT.

Example prompts

  • “为何有效、对谁有效”
  • “为什么会有这个效应”
  • “/mw-mechanism-heterogeneity”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. 中介效应 / 调节效应回归
  2. 替换被解释变量为机制变量
  3. 跨子样本对比

What it can do on your machine

Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Mw Mechanism Heterogeneity loads about 727 tokens when it runs. Until then it costs about 71 tokens; SKILL.md has 186 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~71
When it runs · the whole SKILL.md, loaded when a task matches
~727

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 186 words, ~727 tokens.

Download SKILL.mdSave it as .claude/skills/mw-mechanism-heterogeneity/SKILL.md (or your agent's skills folder).
name
mw-mechanism-heterogeneity
description
用于为《管理世界》实证稿件设计与撰写机制检验和异质性分析,从"政策有效"走向"为何有效、对谁有效"。Use when 主回归已稳健但缺机制证据、异质性切分颗粒度不够(只切国企/非国企或东中西)、中介只跑 Sobel、或审稿人追问"为什么会有这个效应"时使用。锚定《管理世界》国务院发展研究中心主办、管理学与经济学并重、规范的机制检验与企业微观异质性传统,落实因果中介、有理论指引的分层切分与系数差异检验,几乎所有本刊实证投稿都需要本环节。 本技能服务于《管理世界》(Management World, MW)。

机制与异质性(mw-mechanism-heterogeneity)

触发时机

  • 主回归结果已稳健,但缺机制分析
  • 异质性分析只切了"国企 / 非国企"或"东中西"——颗粒度不够
  • 审稿人问"为什么会有这个效应?"

机制分析(Mechanism)

三种主流路径
  1. 中介效应 / 调节效应回归
    • 经典 Baron & Kenny 已被弱化 → 推荐 Bootstrap + 直接估计 + 因果中介(imai-keele-yamamoto)
    • 不要只跑 sobel 检验
  2. 替换被解释变量为机制变量
    • 主回归:政策 → Y
    • 机制:政策 → M(M 为中间机制)
    • 然后讨论 M → Y 的合理性
  3. 跨子样本对比
    • 在"机制成立"和"机制不成立"的子样本中分别估计
    • 如果系数有显著差异,构成机制证据
机制写作三段式
本文进一步从[机制名]角度提供证据。
首先,[机制变量 M] 与[处理变量 D]的关系:……
其次,在[M 强 / 弱] 子样本中,主效应分别为:……
这一结果支持……机制。

异质性分析(Heterogeneity)

切分维度优先级

按《管理世界》读者期待度排序:

  1. 政策强度 / 制度环境 —— 不同地区市场化指数、不同行业管制强度
  2. 企业产权 / 公司治理 —— 国企 / 民企 / 外资、董事会独立性
  3. 企业规模 / 行业属性
  4. 时间窗 —— 政策初期 vs. 后期
  5. 个人特征(如果是个体层面数据)

至少切 3 个维度,每个维度至少 2 个子样本对比。

维度选择原则
  • 切分维度必须有理论指引——不能"为了切而切"
  • 切分要做系数差异显著性检验(Chow 检验或交互项)
  • 切分后样本不能过少(每个子样本 N ≥ 100 是底线)

必查清单

  • 至少 1 个机制 + 至少 3 个异质性维度
  • 机制变量来源于理论 / 已有文献(不是凭空想)
  • 异质性维度有理论指引(不只是描述统计差异)
  • 系数差异显著性检验报告
  • 子样本量足够

反模式

  • 把控制变量挂上交互项就叫"异质性"
  • 中介效应只跑 Sobel 检验
  • 机制变量与处理变量构造时使用了未来信息
  • 切分后某一组 N=30 还在解释

本刊机制与异质性审稿期待表

《管理世界》由国务院发展研究中心主办,秉持"理论贡献 + 中国实践 + 政策含义"三位一体的实证传统,机制与异质性不是装饰,而是从"政策有效"走向"为何有效、对谁有效"的关键,直接关系政策含义的精度。下表锚定本刊审稿期待与常见退稿模式:

维度本刊期待退稿高风险信号
机制有理论指引、可被证伪的中间变量 M只跑 Sobel、机制凭空想象
异质性切分对接制度环境/产权/战略议题把控制变量挂交互项充数
检验严谨系数差异做 Chow/交互项检验只看两组系数大小不做检验
政策衔接异质性结论可导出差异化政策异质性与政策含义脱节
常见退稿模式(机制与异质性维度)
  • 中介效应只跑 Sobel,未用 Bootstrap 或因果中介,被审稿人判为方法落后
  • 异质性只切"国企/非国企""东中西"两刀,颗粒度不足以支撑分层政策建议
  • 切分后某子样本 N=30 仍在解释,统计功效不足
  • 机制变量构造用到未来信息,造成前视偏误

微型走查示例:数字化转型与企业全要素生产率

承接 mw-identification 的数字化转型稿件,走查机制与异质性(数字为示意):

  • 机制(替换被解释变量):政策 → 数字化转型程度 M(年报数字化词频)系数 0.21(示意);再论证 M → TFP 的理论链条(资源配置效率、创新产出)。在 M 强/弱子样本中主效应分别为 0.048 与 0.012(示意),差异显著(交互项 p<0.05,示意),构成机制证据。
  • 异质性维度 1(制度环境):按市场化指数高低分组,高市场化地区效应 0.056、低市场化 0.020(示意),Chow 检验显著 → 对应"营商环境改革"政策落点。
  • 异质性维度 2(企业产权):国企 0.025、民企 0.051(示意),提示民企对数字化补贴更敏感。
  • 异质性维度 3(要素禀赋):劳动密集型 vs. 技术密集型,技术密集型效应更强(示意)。
  • 判定:1 个机制 + 3 个有理论指引的异质性维度 + 系数差异检验齐备 → 可进入 mw-tables-figures;异质性结论已可导出差异化政策(见 mw-policy-implication)。

审稿人追问模式 + 本刊语境修法

  • 追问"机制变量与处理变量是否同源,存在反向因果?" → 修法:把机制检验设为"政策→M"的简化式,明确 M 的测度时点晚于处理、早于结果,避免前视。
  • 追问"异质性差异是统计噪音还是真实结构?" → 修法:报告交互项系数与 Chow 检验,并对子样本量做底线把关(N≥100)。
  • 追问"为何挑这几个异质性维度?" → 本刊语境下,编委要求每个维度有理论或制度依据,并能落到"对哪类地区/企业政策更有效",而非穷举切分。

校准锚点

本刊已刊实证论文普遍包含"1 个清晰机制 + 3 个以上有理论指引的异质性维度 + 系数差异显著性检验",且异质性结论与文末分层政策建议一一呼应。机制方法以因果中介、子样本对比为主流,Sobel 单独使用罕见。具体期待以编辑部最新稿约与同期已刊论文形态为准。

输出格式

【机制数】X 个
【异质性维度】X 个
【系数差异检验】是 / 否
【机制理论引用】[文献]
【异质性→政策衔接】强 / 中 / 弱
【下一步】mw-tables-figures

© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in Journal-of-Management-World-Skills/skills/mw-mechanism-heterogeneity of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

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Questions about Mw Mechanism Heterogeneity

What does Mw Mechanism Heterogeneity do?

用于为《管理世界》实证稿件设计与撰写机制检验和异质性分析,从"政策有效"走向"为何有效、对谁有效"。Use when 主回归已稳健但缺机制证据、异质性切分颗粒度不够(只切国企/非国企或东中西)、中介只跑 Sobel、或审稿人追问"为什么会有这个效应"时使用。锚定《管理世界》国务院发展研究中心主办、管理学与经济学并重、规范的机制检验与企业微观异质性传统,落实因果中介、有理论指引的分层切分与系数差异…. Mw Mechanism Heterogeneity is an agent skill from brycewang-stanford/Awesome-Journal-Skills.

How do I install Mw Mechanism Heterogeneity in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill mw-mechanism-heterogeneity -a claude-code`. Or copy the skill folder (Journal-of-Management-World-Skills/skills/mw-mechanism-heterogeneity in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/mw-mechanism-heterogeneity in your project. Claude Code loads it when a task matches its description.

How do I install Mw Mechanism Heterogeneity in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill mw-mechanism-heterogeneity -a codex`. Or copy the skill folder (Journal-of-Management-World-Skills/skills/mw-mechanism-heterogeneity in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/mw-mechanism-heterogeneity in your project. Codex loads it when a task matches its description.

Can I use Mw Mechanism Heterogeneity in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill mw-mechanism-heterogeneity -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mw-mechanism-heterogeneity, .gemini/skills/mw-mechanism-heterogeneity, .github/skills/mw-mechanism-heterogeneity and .opencode/skills/mw-mechanism-heterogeneity in your project.

What does Mw Mechanism Heterogeneity need to run?

SKILL.md names no scripts, command-line tools or credentials: Mw Mechanism Heterogeneity is instructions for the agent only.

Does Mw Mechanism Heterogeneity access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Mw Mechanism Heterogeneity safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Mw Mechanism Heterogeneity use?

Mw Mechanism Heterogeneity is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Mw Mechanism Heterogeneity use?

About 727 tokens (SKILL.md is roughly 2.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Mw Mechanism Heterogeneity?

Skills that share tags, products or a category with Mw Mechanism Heterogeneity: Mechanical Refactor Verify (sgl-project/sglang, 37k stars), Analyzing Persistence Mechanisms In Linux (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Hunting For Persistence Mechanisms In Windows (mukul975/Anthropic-Cybersecurity-Skills, 34k stars) and Ljg Mechanism (lijigang/ljg-skills, 7.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Mw Mechanism Heterogeneity?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.

Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.