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name: qje-topic-selection description: 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.

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 fit	Better home if not
Big empirical-micro question + clean natural experiment	Strong	—
Novel large-scale data answering an old question	Strong	—
New econometric estimator / asymptotic theory	Weak	Econometrica, JoE
Structural IO / quantitative-macro led by a calibrated model	Possible	JPE, Econometrica, AEJ:Macro
Field-specific incremental estimate	Weak	Top field journal (JOLE, JPubE)
Pure theory with no empirical or policy payoff	Weak	TE, JET, RAND
Descriptive paper with genuinely new facts/data	Possible	Needs 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