Skill UI

A comprehensive guide for revising academic papers in recommendation systems (RecSys). It covers best practices for structuring the first page, ensuring rigorous evaluation protocols (e.g., temporal splits, equal-budget baselines), and avoiding methodological overclaims, helping authors meet the standards of top-tier AI conferences.

This guide outlines how to strategically frame a manuscript's contribution for journals like the Review of Economic Dynamics (RED). It emphasizes identifying a single, sharp, dynamic or quantitative advance (e.g., a new mechanism, method, or quantitative result) and presenting it as a 'delta' against the closest existing model. It provides a checklist and stress test to ensure the core finding is immediately grasped by the target readership.

This guide outlines the rigorous standards for quantitative analysis required in academic economic research, particularly dynamic modeling. It provides a framework covering systematic model calibration, moment estimation, numerical solution discipline, and establishing fully reproducible computation workflows, ensuring results are highly auditable and verifiable.

This comprehensive guide helps authors structure the inferential backbone of economic papers for top journals. It provides detailed checklists for theoretical models (assumptions, regularity), empirical studies (causal design, identification), and computational methods (convergence, asymptotics), ensuring claims are robust and credible across different paper types.

A detailed guide for structuring the introduction and related work sections of manuscripts submitted to Review of Economic Dynamics (RED). It teaches authors how to accurately map their contribution within established quantitative modeling traditions (e.g., DSGE, HANK), explicitly identifying the quantitative gap and the marginal theoretical advance for a specialized readership.

A comprehensive guide for structuring point-by-point responses to reviewers after a major academic review (RED). It emphasizes prioritizing model critiques, quantitative evidence, calibration discipline, and maintaining code/data archive updates. This skill ensures your rebuttal is structured, rigorous, and directly addresses the core concerns of quantitative reviewers.

This guide establishes the rigorous policy for submitting computational and empirical papers to academic journals. It mandates that authors provide sufficient data, source code, and detailed documentation (including execution order, random seeds, and OS used) to ensure that research findings can be fully reproduced by others, adhering to global standards like Option C.

This comprehensive preflight guide ensures authors meet all technical and procedural requirements before submitting to academic journals, specifically detailing the steps for the Review of Economic Dynamics (RED). It covers mandatory steps such as confirming submission fees, adhering to strict formatting rules (abstract length, citation style), preparing data archives (Option C), and navigating the journal's specific workflow (ScienceDirect/Editorial Manager). Following this checklist minimizes rejection risks due to formatting or procedural errors.

This guide outlines best practices for creating quantitative exhibits in dynamic macroeconomics papers. It covers crucial components like Impulse-Response Functions (IRFs), calibration tables, moment-matching results, and policy counterfactuals. The focus is on ensuring the model's mechanism and quantitative fit are clear, legible, and self-contained for expert review.

This guide helps researchers test whether their economic research question aligns with the specialized scope of top-tier journals, particularly those focusing on dynamic and quantitative mechanisms (like RED). It provides a structured methodology, including fit tests and scoring dimensions (Dynamics, Model, Discipline, Audience), to ensure the core contribution is genuinely dynamic and methodologically rigorous.

Guides authors through the rigorous, end-to-end lifecycle of submitting a paper to the Review of Economic Dynamics (RED). It acts as an orchestration checklist, covering critical stages from initial scope definition and quantitative modeling to data archiving, manuscript formatting, fee payment, and handling revisions. It ensures authors maintain methodological rigor and code-first discipline throughout the entire academic publishing process.

Comprehensive stylistic guidelines for submitting quantitative dynamic economic papers to the Review of Economic Dynamics (RED). This guide covers critical conventions, including structuring the abstract to lead with quantitative results, mastering Harvard referencing, adhering to LaTeX formatting, and emphasizing dynamic mechanisms for top-tier academic submission.