--- name: red-writing-style description: Use when applying Review of Economic Dynamics (RED) house style — the stand-alone abstract not exceeding 250 words, author-year (Harvard-style) references, 1 to 6 keywords, LaTeX via Elsevier's elsarticle class under "your paper your way", and the generative-AI declaration. Drafting conventions for a quantitative dynamic paper; it does not invent results. --- # Writing Style for RED (red-writing-style) ## When to trigger - Drafting or tightening the abstract, introduction, and front matter for a RED submission - Setting up references and keywords to RED specifications - Formatting the manuscript for initial submission ## RED conventions (verified; re-confirm on the official Guide for Authors) - **Abstract**: concise and factual, **not exceeding 250 words**, and **able to stand alone** — references inside the abstract are discouraged. Lead with the question, the model, and the headline quantitative result. - **References**: **author-year (Harvard-style)** citation system; reference list alphabetical and consistent. - **Keywords**: **1 to 6** required. - **Formatting**: Elsevier's general Guide for Authors applies; **LaTeX accepted via the `elsarticle` class**; initial submission is flexible ("your paper your way"), so you need not fully typeset to Elsevier style for the first round. - **Generative AI**: any use of generative-AI tools must be **declared at submission**. - **Length**: this pack does not encode a RED-specific manuscript word/page cap. Use the current Guide and Editorial Manager prompts for live file constraints; keep the paper as long as the contribution warrants and no longer. ## Abstract shape Use this order: ```text Dynamic question -> model/mechanism -> discipline/evidence -> headline quantitative result -> implication. ``` Do not begin with data or policy motivation alone. RED readers need to see the dynamic mechanism before they decide whether the paper belongs in the journal. ## Style notes for dynamic papers - Make the **mechanism legible before the math** — a reader should grasp the dynamic force from the intro. - Define the model cleanly; relegate long derivations and proofs to an appendix. - State magnitudes (the calibrated/estimated number that matters) early and precisely. ## Introduction paragraph order Use this sequence for RED introductions: 1. Dynamic fact or puzzle. 2. Mechanism and state variable that make the problem dynamic. 3. Model discipline: data moments, calibration, estimation, or theoretical restriction. 4. Headline quantitative result or theorem. 5. Why the result changes how the SED/dynamic-economics audience thinks about the mechanism. Avoid opening with institutional background that could fit a static paper. The first page should prove that time, state dependence, expectations, accumulation, adjustment costs, search, or equilibrium dynamics are essential to the contribution. ## Notation conventions for dynamic-model prose - Write recursive problems in standard Bellman form — V(a, z) = max over (c, a') of u(c) + βE[V(a', z')|z] — defining every state, choice, and shock at first use, and keep symbols stable across the model section, the calibration table, and the computational appendix. - Time variables explicitly (beginning- vs end-of-period assets): timing mismatches between the equations and the archived code are a referee-visible error class at a code-first journal. - Keep the body for the model, the calibration logic, and the experiments; equilibrium-condition derivations and algorithm detail go to appendices the body cites by number. - Give experiment units in-line ("a one-standard-deviation TFP shock", "a transfer of 1% of GDP") rather than relying on a figure caption to carry them. ## Abstract rewrite example (illustrative) ```text WEAK: "We study inequality and monetary policy in a rich model with many realistic features and find interesting effects." RED-SHAPED: "How does household debt shape monetary transmission? In a heterogeneous-agent New Keynesian model calibrated to U.S. wealth and MPC distributions, a 25bp rate cut raises aggregate consumption by 0.4% — twice the representative-agent benchmark — because constrained borrowers' interest burdens fall." (numbers illustrative) ``` The rewrite names the model class, the discipline (wealth and MPC distributions), and the headline magnitude in three sentences — the pattern a RED desk screen rewards. ## Checklist - [ ] Abstract ≤250 words, stand-alone, no internal references, headline result stated - [ ] References clean author-year; list alphabetical and consistent - [ ] 1–6 keywords supplied - [ ] AI-use declaration prepared; LaTeX builds under elsarticle ## Anti-patterns - A 250+-word abstract or one that cannot be read without the paper - Mixed citation styles instead of clean author-year - Asserting a manuscript length cap that the current RED Guide does not publish ## Output format ```text [Style diagnosis] dynamic mechanism clear / static opening / too long / format risk [Abstract fix] <250-word stand-alone target> [Intro repair] [Front matter] keywords / references / AI declaration / LaTeX [Next step] red-submission or red-tables-figures ``` ## Supplementary resources - [`../../resources/official-source-map.md`](../../resources/official-source-map.md) — Guide-for-Authors facts and fee/source-precedence notes