jpe-theory-model

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Use when a Journal of Political Economy (JPE) manuscript needs an explicit economic model or mechanism — either a theory paper's model, or the framework that gives a reduced-form empirical result its economic meaning. Builds and disciplines the economic argument; it does not run estimation (see jpe-identification).

brycewang-stanford By brycewang-stanford schedule Updated 6/8/2026

name: jpe-theory-model description: Use when a Journal of Political Economy (JPE) manuscript needs an explicit economic model or mechanism — either a theory paper's model, or the framework that gives a reduced-form empirical result its economic meaning. Builds and disciplines the economic argument; it does not run estimation (see jpe-identification).

Theory & Mechanism Model (jpe-theory-model)

When to trigger

  • A reduced-form result has no model or stated mechanism behind it ("what is the economics?")
  • A structural/theory paper's model exists but its assumptions or comparative statics are not disciplined
  • The empirical specification is not derived from, or connected to, any economic framework
  • A referee will ask which economic force drives the result and you cannot point to one

Why this is the JPE hallmark

JPE's identity is tight theoretical framing — the Chicago price-theory tradition that produced Becker's "Crime and Punishment: An Economic Approach" (JPE 1968) and the Black–Scholes option-pricing model (JPE 1973). Even empirical papers are read as tests of economic reasoning: "What does theory predict, and does the evidence bear it out?" The model need not be elaborate; a one- or two-equation framework that delivers a sharp, testable comparative static is often stronger than a baroque one. Internal consistency of the economic argument is scrutinized harder here than almost anywhere. If the contribution is a deep, self-contained macro model, weigh JPE Macroeconomics (companion journal, lead editor Greg Kaplan); a sharp theory or market-design result may suit JPE Microeconomics (lead editor John List) instead of the flagship.

Two modes:

  • Theory-led paper: the model is the contribution; empirics (if any) illustrate or test it.
  • Empirics-led paper: a compact model or explicit mechanism organizes the empirics, generates the prediction being tested, and gives the estimate its interpretation.

Building / disciplining the model

Minimal-model discipline (for empirics-led papers)

  • Write the smallest model whose comparative static is the empirical prediction. Tie one model object to one estimated coefficient.
  • State agents, their objective, the constraint, and what they optimize over. Price-theoretic logic — substitution, scarcity, incentives, market clearing — should be visible.
  • Derive the sign/shape prediction the data will test, and say what evidence would refute it.
  • Check the partial-equilibrium result against general equilibrium: does the effect survive when prices/quantities adjust elsewhere? If not, say so and bound it.

Full-model rigor (for theory-led / structural papers)

  • Assumptions: each one earns its place; flag which are substantive vs. technical convenience.
  • Existence/uniqueness of equilibrium where relevant; comparative statics stated as propositions.
  • Welfare analysis: who gains, who loses, and the efficiency benchmark.
  • Map structural parameters to identifying variation before estimation (hand off to jpe-identification).
  • Robustness of qualitative conclusions to the key assumptions; counterfactuals.

Consistency checks a Chicago referee runs

  • Do agents in the model behave optimally given prices and incentives?
  • Does the market clear, and does the result survive equilibrium adjustment?
  • Are there unmodeled selection or entry/exit margins that would overturn the conclusion?
  • Is the comparative static the paper tests actually a prediction of the model, or assumed?
  • Does the welfare claim follow from the model, or is it asserted?

Checklist

  • An explicit model or written-down mechanism exists
  • One testable comparative static is derived and mapped to an estimated object
  • Optimization, incentives, and market clearing are visible in the logic
  • General-equilibrium / selection feedback considered (or bounded if assumed away)
  • Assumptions labeled substantive vs. technical
  • Welfare / efficiency implications follow from the model, not asserted
  • The model is the smallest one that delivers the result (no gratuitous generality)

Anti-patterns

  • An empirical result with no model and no mechanism — "we find an effect" with no economic story
  • A model whose comparative statics are never connected to the data
  • Partial-equilibrium conclusions that ignore obvious GE feedback a referee will raise
  • A needlessly elaborate model that obscures rather than sharpens the economic point
  • A black-box quantitative model with no "what identifies what" mapping — a frequent JPE referee complaint
  • Assumptions chosen for tractability that secretly drive the headline result
  • Welfare statements that do not follow from the stated objective function

Output format

【Mode】theory-led / empirics-led
【Core mechanism】the economic force in one sentence
【Model primitives】agents / objective / constraint
【Testable prediction】comparative static + the estimated object it maps to
【GE / selection check】survives equilibrium adjustment? [y/n + note]
【Welfare】who gains/loses; efficiency benchmark
【Next】jpe-identification (to test it) or jpe-robustness
Install via CLI
npx skills add https://github.com/brycewang-stanford/Awesome-Journal-Skills --skill jpe-theory-model
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