Skill UI

A comprehensive guide designed for authors submitting to the Journal of Business & Economic Statistics (JBES). It details the unique multi-Co-Editor model, how referees scrutinize submissions (focusing on statistical validity, empirical relevance, and reproducibility), and the conventions of the discussion-paper tradition. This resource helps authors set expectations and anticipate critiques before drafting the formal response letter.

A comprehensive preflight checklist designed for submitting manuscripts to the Journal of Business & Economic Statistics (JBES). This guide ensures authors have verified all necessary components—including the data/code supplement, conflict disclosures, and cover letter targeting—against the latest academic standards. It functions as a critical final review step before formal submission, emphasizing the need to cross-reference live journal guidelines.

A comprehensive guide detailing best practices for creating clear, rigorous, and publication-ready tables and figures for advanced statistical or econometric manuscripts. It ensures that complex results (such as size-power curves, bias/RMSE comparisons, and empirical payoffs) are legible to both expert statisticians and applied economists, improving presentation without altering the underlying results.

This guide provides detailed structural advice for authors submitting methods papers to the Journal of Business & Economic Statistics (JBES). It teaches how to balance methodological novelty and empirical relevance, ensuring that both are clearly stated and equally foregrounded in the abstract and introduction, rather than burying one aspect in excessive prose.

This framework guides authors in transforming raw empirical findings into compelling academic contributions suitable for top-tier finance journals. It teaches how to sharpen the focus from merely presenting 'better data' to articulating the underlying financial mechanism, institutional friction, or policy implication, ensuring the research answers the critical question of 'why it matters.'

This comprehensive guide provides a structured framework for building and auditing empirical data and estimation pipelines in finance and banking research. It covers data construction from various sources (e.g., CRSP, Call Reports), advanced econometric techniques like fixed effects and winsorization, conducting stress tests (e.g., crisis periods, large banks), and ensuring full reproducibility. It emphasizes reporting results with meaningful economic magnitudes.

A comprehensive guide for stress-testing and defending empirical identification strategies in finance and economics manuscripts. It covers advanced econometric techniques such as Staggered DiD, Instrumental Variables (IV), Regression Discontinuity Design (RDD), and Event Studies, providing actionable advice on fixed effects, clustering, necessary robustness checks, and anticipating referee challenges.

A comprehensive guide for authors on how to structure the literature review and introduction of academic papers, especially in banking and finance. It teaches how to precisely identify and articulate a unique contribution ('delta') relative to the closest existing literature, ensuring the paper is seen as a specialized advancement rather than a generic survey.

A comprehensive guide for authors responding to major or minor revisions for top-tier academic journals, specifically tailored for the Journal of Banking & Finance (JBF) style. It covers triage strategies for referee reports, strengthening empirical identification, improving robustness, structuring point-by-point responses, and drafting a precise, evidence-led rebuttal letter.

A comprehensive guide detailing the editorial pipeline for the Journal of Banking & Finance (JBF). It explains the initial desk screen, double-anonymized refereeing process, the role of submission fees, and how to interpret status updates in Editorial Manager. Essential for authors submitting finance and banking manuscripts.

This guide provides comprehensive guidelines for preparing high-quality, publication-ready tables and figures specifically tailored for Journal of Banking & Finance (JBF) submissions. It covers everything from structuring descriptive statistics and regression results to designing event-study plots and ensuring proper notes and execution workflows.

This guide helps researchers evaluate whether their finance manuscript is suitable for top-tier academic journals like the Journal of Banking & Finance (JBF). It provides a detailed framework to check for institutional content, rigorous empirical design, external relevance, and the potential to significantly change prior assumptions, while also offering routing advice to alternative specialized venues.