Agent skill · Code Review & Quality

restud-theory-model

Use when building, sharpening, or stress-testing the theoretical model in a The Review of Economic Studies (REStud) manuscript — whether a pure-theory paper or an empirical paper with a model — and when routing proofs to the online appendix. Develops the model and its economic payoff; does not run the empirics.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill restud-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: Review-of-Economic-Studies-Skills/skills/restud-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

# REStud Theory / Model (restud-theory-model) ## When to trigger - The paper is pure theory and needs the contribution framed as a clean result - An empirical paper has a model whose assumptions and proofs are underdeveloped - A proposition is stated but the proof lives inline and clutters the main text - A referee will ask "what is the economic content of this result, beyond the algebra?" ## What REStud rewards in theory REStud has unusually deep theory roots for a top-5 journal — it is where **optimal income-taxation theory** (Mirrlees, "An Exploration in the Theory of Optimum Income Taxation," REStud 38(2), 1971) and the **Ramsey–Cass–Koopmans** growth model (Cass, "Optimum Growth in an Aggregative Model of Capital Accumulation," REStud 32(3), 1965) were first published. It accepts theory across all fields and treats a **new model** as a first-class contribution — and with Joint Managing Editors who are themselves theorists (Antonio Penta in mechanism design, Jakub Steiner in information/behavioral economics), pure theory is a first-class citizen here, not a tolerated minority. The bar is **technical excellence with a legible economic payoff**: - **Tractability with insight.** T

What's inside
Steps it walks through
  1. When to trigger
  2. What REStud rewards in theory
  3. Building the model section
  4. Step 1 — Result-first framing
  5. Step 2 — Minimal setup
  6. Step 3 — Propositions and their economics
  7. Step 4 — Proofs to the online appendix
  8. Step 5 — Map to empirics (if applicable)
  9. Checklist
  10. Anti-patterns
  11. Output format
More from Awesome-Journal-Skills
All skills →
About this skill
What does the restud-theory-model skill do?

Use when building, sharpening, or stress-testing the theoretical model in a The Review of Economic Studies (REStud) manuscript — whether a pure-theory paper or an empirical paper with a model — and when routing proofs to the online appendix. Develops the model and its economic payoff; does not run the empirics.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill restud-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