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Ier topic selection

Skill brycewang-stanford/Awesome-Journal-Skills/International-Economic-Review-Skills/skills/ier-topic-selection

Use when deciding whether a question is broad and rigorous enough for an International Economic Review (IER) manuscript, and which branch (theory / structural-macro / econometric method / applied micro) frames it. Tests fit and scope; it does not invent evidence or citations.From its SKILL.md

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npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill ier-topic-selection

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SKILL.md

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Topic Selection (ier-topic-selection)

When to trigger

  • You have a result but are unsure it is general-interest — would a macro theorist and an applied micro reader both see why it matters?
  • The question feels like a field-journal question (a single applied estimate, a narrow extension) and you want to know if it clears IER's broad-rigor bar
  • The contribution is a model with a clean result, and you want to confirm theory is welcome here (it is — IER tilts theory/structural)
  • The team is choosing between IER, Econometrica/QE, a top-5, and a field journal and needs the boundary drawn

What IER actually rewards

IER was founded in 1960 to be a forum for modern quantitative economics, and its center of gravity is rigor and generality over topical novelty. The papers that fit are the ones where the contribution is a method, a model, or a tight model-to-evidence link that travels beyond the immediate application. Sort your question against these archetypes before going further:

ArchetypeWhat makes it an IER paperWhat gets it desk-rejected here
Pure / applied theoryA new result with a clean proof and load-bearing assumptions made explicit; comparative statics that teach something generalA model that only re-derives a known result, or a toy with no general lesson
Structural / quantitative macroA model disciplined by data whose mechanism and counterfactual are the pointA calibration with an undefended elasticity driving the headline number
Econometric theory / methodA new estimator/test with asymptotics AND finite-sample evidence, beating a clear incumbentA method searching for a problem, or a marginal tweak with no practical gain
Applied micro (causal)A credible design whose answer speaks to a general mechanism, not one institutionA clean DID whose interest is purely local/policy and not generalizable

The decisive question is not "is this correct?" but "does the rigor buy generality?" An IER referee forgives a narrow empirical setting if the mechanism generalizes, and forgives an abstract model if the result is genuinely new. They do not forgive a paper that is merely competent and local.

Where IER sits among the siblings (so you don't mis-target)

  • vs. Econometrica / Quantitative Economics (Econometric Society): those are method-first and membership-gated; IER is Penn–Osaka-owned, broad/theory-leaning, with a flat US$150 fee and an Editorial Express portal. If your paper's entire value is the theorem or estimator with no broad payoff, it may be an ES paper — at IER the general-interest case must be visible.
  • vs. the top-5 (AER/QJE/JPE/REStud/Eca): IER rewards rigor and generality but does not require the topical "importance" a top-5 desk demands. A deep, correct, general result that a top-5 would call "not splashy enough" is squarely an IER paper.
  • vs. field journals (JIE, J. of Econometrics, etc.): IER wants the result to travel beyond one field. If you can name only one narrow audience, it is a field paper.

Worked example (illustrative)

A draft estimates the pass-through of a specific country's import tariff to local prices — a clean, well-identified applied result. As stated it is a field-journal (trade/IO) paper: the interest is local. The IER version reframes the contribution as a general mechanism — "how incomplete pass-through depends on market structure, identified by tariff variation" — and shows a second reader segment (IO theorists) would care because the mechanism is portable. Same data, different contribution: the rigor now buys generality, which is what moves it from a field outlet to IER.

How to sharpen the question

  1. State the contribution in one sentence that names the general object (a parameter, a theorem, an estimator, a mechanism) — not the dataset or the country.
  2. Name the two reader segments who must both care (e.g., trade theorists + IO empiricists). If you can only name one narrow segment, it is a field-journal paper.
  3. Identify the single load-bearing assumption or identifying source the whole result rests on, and ask whether you can defend it to a skeptic.
  4. Decide the branch (theory / structural / method / applied) — this fixes which skill is your real first bottleneck via ier-workflow.
  5. Hand off to ier-literature-positioning if it passes, or back to ier-workflow if the branch is still unclear.

Three questions that decide fit before you write

Run these before committing the topic; if any answer is "no," reroute via ier-workflow rather than polishing a misfit.

  1. Generality test. If I strip the specific dataset/country/institution, does a result remain that another economist could use? If nothing survives the stripping, the contribution was the setting, and the setting is not enough for IER.
  2. Two-referee test. Can I name a plausible referee from a different subfield who would find the paper interesting on its own terms? IER's broad readership means a paper that only one narrow community can referee is a poor fit.
  3. Sibling test. Is there a journal where this paper would be a more natural fit — Econometrica/QE if it is pure method, a field journal if it is field-local? If yes and the IER-specific edge is thin, name the edge explicitly or retarget.

These are not box-ticking; each maps to a real desk-rejection reason. The generality test catches field-local papers; the two-referee test catches papers too specialized for a general-interest board; the sibling test catches papers that would be stronger submissions elsewhere.

Checklist

  • The contribution is stated as a general object (theorem / parameter / estimator / mechanism), not as a dataset or setting
  • At least two distinct IER reader segments would care; the paper is not single-field-local
  • The rigor visibly buys generality — the lesson survives outside the immediate application
  • The branch is named, so the real first bottleneck is identified
  • If empirical, the mechanism is generalizable, not just the policy estimate
  • Sibling boundary is drawn: this is not better placed at Econometrica/QE or a field journal
  • Process facts cited (fee, length, portal) are from resources/official-source-map.md or marked 待核实

What "International" does and does not mean

A recurring misreading: authors assume IER wants cross-country or trade topics because of the name. It does not. "International" denotes the Penn–Osaka ownership (the partnership behind the Klein Lectures), not a field scope. A purely domestic macro-theory or applied-micro paper is exactly as welcome as a trade paper, provided the rigor buys generality. Do not bend a topic toward an international angle to "fit the name" — fit the standard (rigor + generality), which is what the editorial board actually applies.

Anti-patterns

  • Pitching a clean-but-local applied result as if novelty of setting were the contribution — IER prizes generality, not a fresh dataset
  • Sending a method-first econometrics paper to IER when it is really an Econometric Society (Econometrica/QE) paper — IER takes method, but the broad-interest case must be visible
  • Assuming "International" means the topic must be cross-country — it names the Penn–Osaka ownership, not the field
  • Treating a marginal model extension as general-interest because it is formally correct

Output format

【Journal】International Economic Review
【Skill】ier-topic-selection
【Branch】theory / structural-macro / econometric-method / applied-micro
【Contribution (general object)】one sentence naming the theorem/parameter/estimator/mechanism
【Two reader segments】who must both care
【Load-bearing assumption / identifying source】the thing the result rests on
【Sibling boundary】why IER and not Econometrica/QE / top-5 / field journal
【Verdict】pass / revise / reroute
【Source status】verified / 待核实
【Next skill】ier-literature-positioning

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