Agent skill · Workflow & Productivity

aejpol-theory-model

Use when an AEJ: Economic Policy manuscript needs a framework that maps reduced-form estimates into a welfare, cost-benefit, or distributional policy object — sufficient statistics, MVPF, optimal-policy, or a small applied model. Builds the estimate-to-welfare bridge and states its assumptions; it does not run the empirical estimation or write the prose.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejpol-theory-model --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 5 KB
Bundled scripts: none
Path: AEJ-Economic-Policy-Skills/skills/aejpol-theory-model/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Theory / Welfare Model — Estimate-to-Policy Bridge (aejpol-theory-model) ## When to trigger - You have a credible causal estimate but no framework to say what it means for welfare or policy - A referee says the welfare claim is "hand-waved" or the "so what" is missing - You need to convert an elasticity / treatment effect into a cost-benefit or optimal-policy statement - A reviewer asks "what is the sufficient statistic, and does your estimate identify it?" ## The AEJ: Policy role of theory At AEJ: Policy theory is usually **in service of the policy reading**, not the headline. Most papers do not need a full structural model; they need a transparent framework that turns a reduced-form estimate into a **welfare, cost-benefit, or distributional** object a policymaker can use. Pick the lightest framework that delivers the policy statement and make its assumptions explicit. ### Bridge paths (lightest first) #### Path A: Sufficient statistics / MVPF - Write the welfare expression and show **which estimated objects are the sufficient statistics** (e.g., an elasticity, a fiscal externality, a pass-through). State that your design identifies exactly those. - For spending/tax policies, a

What's inside
Steps it walks through
  1. When to trigger
  2. The AEJ: Policy role of theory
  3. Bridge paths (lightest first)
  4. Distributional reading
  5. Checklist
  6. Anti-patterns
  7. Worked vignette (illustrative)
  8. Output format
More from Awesome-Journal-Skills
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About this skill
What does the aejpol-theory-model skill do?

Use when an AEJ: Economic Policy manuscript needs a framework that maps reduced-form estimates into a welfare, cost-benefit, or distributional policy object — sufficient statistics, MVPF, optimal-policy, or a small applied model. Builds the estimate-to-welfare bridge and states its assumptions; it does not run the empirical estimation or write the prose.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aejpol-theory-model --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going