Agent skill · Design & Presentation

aeja-theory-model

Use when an American Economic Journal: Applied Economics (AEJ: Applied) manuscript needs a model to interpret, discipline, or structure its empirical estimates — not to lead the paper. Calibrates how much theory belongs in an empirical-first journal and where it goes; it does not design the identification (aeja-identification) or build a standalone structural estimation.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aeja-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-Applied-Economics-Skills/skills/aeja-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 & Model for Interpretation (aeja-theory-model) ## When to trigger - A referee asks "what is the mechanism / what model rationalizes this?" - The reduced-form estimate is credible but its economic meaning is ambiguous - You want a welfare statement, an elasticity, or a counterfactual the raw estimate cannot deliver - You are tempted to lead the paper with a full structural model and need to right-size it for AEJ: Applied ## The AEJ: Applied theory dial AEJ: Applied is **empirical-first**. Theory earns its place only when it **interprets the estimate, sharpens the estimand, or unlocks a magnitude the design cannot deliver alone** — never as the headline. Pick the lightest tool that does the job and keep the empirical estimate the star. | Theory's job | Right amount of model | Where it goes | |--------------|-----------------------|---------------| | Name the mechanism | a few equations / a conceptual framework | short section before results | | Map a reduced-form coefficient to a structural parameter | a sufficient-statistic / envelope argument | inline derivation + appendix | | Deliver a welfare or counterfactual number | a calibrated or partially-structural model | a dedic

What's inside
Steps it walks through
  1. When to trigger
  2. The AEJ: Applied theory dial
  3. Sufficient-statistic style (often the AEJ: Applied sweet spot)
  4. When a fuller model is warranted
  5. Checklist
  6. Anti-patterns
  7. Worked vignette (illustrative)
  8. Referee pushback mapped to the theory fix
  9. Output format
More from Awesome-Journal-Skills
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About this skill
What does the aeja-theory-model skill do?

Use when an American Economic Journal: Applied Economics (AEJ: Applied) manuscript needs a model to interpret, discipline, or structure its empirical estimates — not to lead the paper. Calibrates how much theory belongs in an empirical-first journal and where it goes; it does not design the identification (aeja-identification) or build a standalone structural estimation.

How do I install it?

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