Use when a Quarterly Journal of Economics (QJE) manuscript has a credible empirical result but no conceptual frame — to add the model or framework that turns a coefficient into a lesson with broad implications. Frames the result conceptually; it does not redesign the identification.
Scanned 6/6/2026
Install to Claude Code
npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill qje-theory-model --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Qje Theory Model?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/brycewang-stanford-qje-theory-model)More formats (shields.io, HTML) on the badges page.
---
name: qje-theory-model
description: Use when a Quarterly Journal of Economics (QJE) manuscript has a credible empirical result but no conceptual frame — to add the model or framework that turns a coefficient into a lesson with broad implications. Frames the result conceptually; it does not redesign the identification.
---
# Theory & Conceptual Frame (qje-theory-model)
## When to trigger
- The empirics are clean but the paper reads as "a coefficient with no story"
- Referees would ask "what is the economic mechanism / model behind this?"
- There is a verbal mechanism but no formalization tying estimates to parameters
- The result is interesting but its broad implication is not articulated
## Why QJE wants a frame, not necessarily heavy theory
QJE rewards a **clear conceptual takeaway with broad implications** — it is, after all, the journal that published Akerlof's "Market for 'Lemons'" (QJE 1970) and Spence's "Job Market Signaling" (QJE 1973), papers carried by a sharp idea rather than heavy machinery. That does *not* mean every paper needs a structural model. Many of QJE's most influential empirical-micro papers carry a *light* conceptual framework whose role is to (1) organize what is being estimated, (2) make the mechanism legible, and (3) map reduced-form estimates to an economically meaningful quantity (the sufficient-statistic style of Chetty-school QJE papers is the template). This is a real QJE-vs-sibling distinction: a paper whose contribution *is* a calibrated structural model often fits JPE or Econometrica better; QJE prizes the idea-plus-clean-evidence combination. Match the weight of theory to the question; do not bolt on a model the empirics cannot speak to.
## Choosing the right level of formalization
| Level | Use when... | Risk if misused |
|------------------------------|--------------------------------------------------------------------|------------------------------------------|
| Verbal conceptual frame | The mechanism is intuitive and the estimate is the contribution | Reads as undertheorized; "so what?" |
| Stylized model (1–3 results) | You need to show *what parameter* the design identifies | Best default for empirical-micro QJE |
| Sufficient-statistic frame | A few estimable objects map to welfare/policy | Powerful and parsimonious when it fits |
| Full structural model | Counterfactuals/welfare require out-of-sample extrapolation | Often a better fit for JPE/ECMA than QJE |
## The framing moves
1. **Define the object.** State precisely what economic quantity the empirical estimate corresponds to (an elasticity, a treatment effect on a welfare-relevant margin, a structural parameter).
2. **Make the mechanism a proposition.** Even a two-equation model that yields "the sign/size of β reveals mechanism M" disciplines the interpretation and tells referees what the test is.
3. **Connect to welfare or policy.** Where possible, use a sufficient-statistic or envelope argument to translate estimates into a quantity decision-makers care about.
4. **State the broad lesson.** Close the loop with the topic-selection hook: the model should make the "beyond this setting" sentence rigorous and legible to a general-interest reader.
## Checklist
- [ ] The estimated object is defined in terms of an economic primitive
- [ ] The model (verbal or formal) generates a testable prediction the data address
- [ ] Theory weight is matched to the question (no gratuitous structural model)
- [ ] Mapping from reduced-form estimates to the conceptual quantity is explicit
- [ ] A welfare / policy interpretation is offered where feasible
- [ ] The frame makes the "broad lesson" rigorous, not decorative
- [ ] Assumptions of the frame are stated and their plausibility discussed
## Anti-patterns
- A standalone theory section disconnected from what the data can test
- A heavy structural model whose key parameters the design cannot identify (and that pushes the paper toward JPE/ECMA territory)
- "Mechanism" asserted verbally with no prediction that the empirics confirm/reject
- Theory that merely restates the regression rather than disciplining it
- A model so general it predicts any sign of the estimate (unfalsifiable)
## Output format
```
【Estimated object】what economic primitive the coefficient maps to
【Frame level】verbal / stylized model / sufficient-statistic / structural
【Key prediction】the testable implication the data address
【Welfare/policy mapping】... (or "not applicable, by design")
【Broad lesson, made rigorous】...
【Next step】qje-robustness
```
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!