Individual skill

eer-theory-model

Use when a European Economic Review (EER) manuscript needs a theoretical model built or tightened — a pure-theory result, a quantitative/structural macro model, or a conceptual frame disciplining an empirical paper. Sharpens the model's contribution, assumptions, and link to data; it does not run the empirical identification or robustness.

European-Economic-Review-Skills/skills/eer-theory-model/SKILL.md

Read pinned source

Source commit 932eb23331721b16e967c59f093781be1928b498

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
Yes
Repository scan complete
No
Skill scan complete
Yes
Observed behavior
Network or broad shell
Last checked
Nov 9, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings)
1,404
Repository last updated
Sep 27, 2026
License
MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt

# Theory & Model Craft (eer-theory-model)

## When to trigger

- The paper is pure theory and the result needs to be sharp and general
- A macro/quantitative model needs discipline (calibration/estimation, mapping to data)
- An empirical paper needs a model to organize the mechanism and interpret estimates
- Reviewers ask "what is the model adding?" or "why these assumptions?"

## The EER theory bar

EER publishes **theory and empirical work across all fields**, so a model is judged on whether it yields a **general, interpretable result a non-specialist can grasp** — not machinery for its own sake. For pure theory: the proposition must be **clean, general, and economically meaningful**, with assumptions that are minimal and defended. For quantitative/structural work: the model must be **disciplined by data** (calibration targets or estimation) and used to deliver a **counterfactual or quantity** a reduced-form design cannot. For theory-disciplining-empirics: the model must **organize the mechanism** and tell the reader what the estimates mean.

## Branch paths
Back to top