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qje-topic-selection

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Use when scoping or pressure-testing a research question for a Quarterly Journal of Economics (QJE) submission — checks fit, the "big idea" bar, and breadth of the takeaway for QJE's general-interest readership. Diagnoses scope fit; it does not design the empirics.

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Source SKILL.md: https://github.com/brycewang-stanford/Awesome-Journal-Skills/blob/HEAD/Quarterly-Journal-of-Economics-Skills/skills/qje-topic-selection/SKILL.md

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Topic Selection & Fit (qje-topic-selection)

When to trigger

  • You have data or a result but the "so what?" is unclear
  • You are unsure whether the idea is top-5 material or a field-journal paper
  • The question is narrow, technical, or interesting only to specialists
  • You can describe what you did but not the broad lesson it teaches

The QJE bar: a big question with a broad answer

QJE is a general-interest journal covering all of economics, published by OUP and edited at Harvard since 1886 (the oldest English-language economics journal). Its comparative advantage is the compelling question + credible empirics + a conceptual takeaway with broad implications — the journal that ran Akerlof's "Market for 'Lemons'" (QJE 1970) and Mankiw, Romer & Weil's "Contribution to the Empirics of Economic Growth" (QJE 1992) rewards papers that change how a wide audience thinks, not just precise estimates. Editorial reality reinforces this: five Harvard-based Editors desk-screen in ~2 weeks, so the big idea must be visible immediately. Force the idea through three filters:

  1. The question filter — Would a smart economist outside your subfield want to know the answer? State the question in one sentence a labor economist, a macroeconomist, and a development economist would all find interesting.
  2. The answer filter — Is the answer (not the method) surprising, important, or settling of a long-standing debate? A precise estimate of something nobody disputes is a field-journal paper.
  3. The breadth filter — Does the result generalize beyond the specific setting? QJE rewards a clean local result that teaches a general lesson (e.g., Chetty–Hendren–Kline–Saez on the geography of intergenerational mobility, QJE 2014).

Scope fit decision table

Your paper is...QJE fitBetter home if not
Big empirical-micro question + clean natural experimentStrong—
Novel large-scale data answering an old questionStrong—
New econometric estimator / asymptotic theoryWeakEconometrica, JoE
Structural IO / quantitative-macro led by a calibrated modelPossibleJPE, Econometrica, AEJ:Macro
Field-specific incremental estimateWeakTop field journal (JOLE, JPubE)
Pure theory with no empirical or policy payoffWeakTE, JET, RAND
Descriptive paper with genuinely new facts/dataPossibleNeeds exceptional, first-order novelty

QJE-vs-siblings taste note: relative to JPE (more sympathetic to a strong calibrated/structural model carrying the paper) and Econometrica (method and theory), QJE leans toward reduced-form, idea-driven empirical work with a memorable lesson. A pure-method paper that AER or JPE might consider for a methods slot is a weak QJE fit.

Sharpening the contribution

  • Write the one-sentence hook: "We show that [surprising answer] using [clean source of variation]." If you cannot fill both brackets, the project is not ready.
  • Identify the broad lesson: finish the sentence "Beyond this setting, our result implies ..."
  • Name the debate you move: which prior belief does your answer overturn, quantify, or reconcile?
  • Stress-test against desk rejection: QJE desk-rejects fast (~2 weeks). If the editor cannot see the big idea in the first paragraph of the intro, the paper is gone.

Checklist

  • One-sentence hook with both a surprising answer and a clean source of variation
  • A "broad lesson" sentence that travels beyond the specific setting
  • The question is legible to a non-specialist top-5 reader
  • The answer (not the technique) is what makes the paper interesting
  • You can name the prior belief or debate the paper moves
  • Not better suited to Econometrica (method) or a top field journal (incremental)

Anti-patterns

  • A precise causal estimate of something no one doubted ("more education raises wages, again")
  • Leading with the method ("we apply the Callaway–Sant'Anna estimator to ...") instead of the question
  • A purely descriptive paper with no exceptional, first-order data novelty
  • "Interesting only to people who study X" — fails the general-interest filter
  • Over-claiming generality the design cannot support (a single-county RDD billed as a universal law)

Output format

【Question】one sentence a non-specialist would care about
【Surprising answer】...
【Source of variation】...
【Broad lesson】Beyond this setting, ...
【Debate moved】prior belief → our result
【QJE fit verdict】strong / possible / weak (+ better home if weak)
【Next step】qje-literature-positioning