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joe-writing-style

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Use to make a Journal of Econometrics (JoE) manuscript read in house style — a precise abstract under 250 words, a contribution-first introduction, legible theorem-and-proof exposition, and Elsevier elsarticle/[dataset] reference conventions. Late-stage polish; it does not invent results.

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Source SKILL.md: https://github.com/brycewang-stanford/Awesome-Journal-Skills/blob/HEAD/Journal-of-Econometrics-Skills/skills/joe-writing-style/SKILL.md

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Writing Style (joe-writing-style)

When to trigger

  • The abstract exceeds 250 words or buries the methodological contribution
  • The introduction lists what you did but never states the advance plainly
  • Proofs are correct but unreadable — no roadmap, lemmas dumped without motivation
  • References or math formatting do not follow Elsevier/elsarticle conventions

JoE house style

The Journal of Econometrics publishes mathematically rigorous methodology, and its prose has to make rigor legible. Editors screen before assigning a minimum of two referees, so the abstract and introduction must land the contribution fast. Key house facts to write to:

  • Abstract ≤ 250 words, concise and factual; avoid references unless essential, and if used cite author/year in the abstract.
  • elsarticle LaTeX document class; Elsevier reference style (numbered or author-year, any CSL-compatible manager). Dataset citations tagged [dataset] with author/title/repository/version/year/persistent ID.
  • Initial submission is a single PDF (~40 pages, ≥1.5 spacing, 11pt); write for that length norm rather than a hard word count.

Abstract (≤ 250 words)

  • Sentence 1: the econometric problem and why existing methods fail.
  • Sentence 2: the proposed estimator/test/result and its key property (weaker assumptions, efficiency, valid inference).
  • Sentence 3: the asymptotic guarantee and the Monte Carlo / empirical evidence.
  • Keep it factual; no hype, no undefined notation. Spell out any cited reference in full.

Introduction (contribution-first)

  1. The problem and its stakes for econometric practice.
  2. What is known and exactly where it falls short (the gap from joe-literature-positioning).
  3. The contribution, stated as a property, in plain words before any notation.
  4. A preview of the assumptions, the main theorem, and the finite-sample evidence.
  5. A short roadmap. Write the introduction last, after theorems and Monte Carlo are settled.

Theorem-and-proof exposition

  • State assumptions once, label them, and refer back by label — do not silently re-use.
  • Give each theorem a one-line intuition before the formal statement; say what drives the result.
  • Provide a proof roadmap (consistency → rate → distribution); relegate routine algebra to an appendix but keep the logical skeleton in view.
  • Define every symbol on first use; keep notation consistent across theory, Monte Carlo, and illustration.

Anti-patterns

  • A 300-word abstract, or one that states the model but not the contribution
  • An introduction that is a related-work list with the advance hidden on page 6
  • Proofs with no roadmap; lemmas appearing before the reader knows why
  • Inconsistent or undefined notation; reference style that ignores Elsevier/elsarticle conventions

Style execution pass for Journal of Econometrics

Use this as a second-pass capability check. First lock the estimand or theorem, assumptions, asymptotic/simulation evidence, and applied relevance; then test whether the manuscript addresses econometrics reviewers who expect methodological novelty, assumptions, simulation or empirical illustration, and reproducibility.

  • Primary move: Rewrite the opening and transitions so the venue-level claim, evidence object, and contribution are visible before technical detail.
  • Decision ledger: return claim / evidence / blocker / next edit rows so the next pass can patch the manuscript directly.
  • Neighbor test: compare against Econometric Theory for proof-first work, JBES for applied statistical methods, Quantitative Economics for economics-theory methods; if the neighboring outlet has the stronger audience claim, recommend re-routing before polishing.
  • Verification floor: before submission-ready advice, re-open resources/official-source-map.md for volatile rules and name the one unresolved fact that could change the recommendation.

Output format

【Abstract】≤250 words, states problem + property + evidence? [Y/N]
【Intro】contribution stated as a property before notation? [Y/N]
【Proof exposition】intuition + roadmap + labeled assumptions? [Y/N]
【Notation】defined on first use, consistent throughout? [Y/N]
【References】Elsevier style + [dataset] tags? [Y/N]
【Next step】joe-replication-and-data-policy