Skill UI

A comprehensive guide for authors submitting to international finance journals, detailing how to structure the online supplementary appendix and prepare the data-and-code deposit. It ensures that supporting material is organized, traceable to main claims, and that data accessibility statements are compliant with institutional policies, especially for restricted international data.

This skill helps researchers anticipate and pre-empt predictable objections from international finance referees, particularly for submissions to journals like JIMF. It guides authors on strengthening the paper's international scope, improving causal identification against global confounders, and ensuring robustness to standard field checks (e.g., global crises, US-centricity) *before* submission. It is a proactive checklist for optimizing manuscript quality.

This skill acts as a comprehensive router for developing manuscripts intended for the Journal of International Money and Finance (JIMF). It guides authors through the entire research lifecycle, from initial topic selection and literature positioning to rigorous empirical design, robustness checks, figure creation, and final rebuttal planning. It ensures the paper meets the high standards required for open-economy macro-finance submissions.

A comprehensive guide for authors submitting empirical or quantitative manuscripts to the Journal of Monetary Economics (JME). It details mandatory requirements for data deposition, model code (Dynare, MATLAB, Stata, R), master scripting, and adherence to Elsevier's generative AI declaration, ensuring maximum reproducibility and meeting high academic standards.

A comprehensive guide for authors submitting to academic journals, detailing how to structure and build necessary exhibits (tables and figures). It provides distinct guidelines for quantitative work (e.g., SEM results, interaction plots) and qualitative work (e.g., data-structure figures, representative quotes), ensuring all visuals make the argument legible and adhere to strict house style rules.

A comprehensive guide for authors preparing manuscripts for the Journal of Communication (JoC). It details the requirements for achieving open science and transparency, covering essential elements like the Data Availability Statement (DAS), Open Science Badges (Open Data, Open Materials, Preregistration), and best practices for ensuring reproducibility across quantitative, computational, and qualitative methodologies. Learn how to build materials as you write.

This comprehensive guide assists researchers in strengthening the methodological rigor of communication studies manuscripts. It details best practices for experimental design, surveys, content analysis, and computational pipelines, helping authors preemptively address common reviewer critiques regarding causality, sample validity, and internal/external validity.

A comprehensive guide for authors responding to highly technical referee reports, particularly for submissions to top econometrics journals like the Journal of Econometrics (JoE). It details strategies for addressing objections concerning assumptions, asymptotic gaps, and Monte Carlo simulations, ensuring the revised manuscript and response letter are technically airtight and methodologically rigorous.

Provides comprehensive guidelines for authors submitting to the Journal of Econometrics (JoE). It details the required best practices for data citation (using the Elsevier `[dataset]` format), ensuring methodological reproducibility (e.g., Monte Carlo simulations), and preparing estimators as runnable code packages (R, Python, etc.). This guide is essential for meeting rigorous academic publication standards and passing peer review.

This comprehensive guide provides authors with a final preflight checklist for submitting manuscripts to high-stakes academic journals, such as the Journal of Econometrics (JoE). It meticulously covers technical formatting rules (e.g., source files, spacing, abstract length), journal-specific processes (e.g., single-anonymized review, fee payment), and navigating complex submission portals (Editorial Manager vs. Editorial Express). Use this tool as a final quality check before hitting 'submit' to ensure compliance and maximize acceptance chances.

This skill guides authors on meeting stringent academic requirements for manuscript submission, specifically addressing the mandatory replicability standard set by The Journal of Politics (JOP). Acceptance is strictly contingent on providing a complete, documented, and executable package. The required materials include the dataset(s), master code, codebook, and a comprehensive readme file, ensuring that any published finding can be independently verified and reproduced by a journal analyst. It also provides guidelines for handling restricted data.

A comprehensive guide for authors submitting to the Journal of Software (JOS), clarifying the current status and best practices for including reusable code and data artifacts. It distinguishes JOS's approach from mandatory international conference badging systems, focusing instead on making reproducibility a strong, proactive addition to your submission.