Skill UI

A comprehensive guide for authors revising technical papers for top-tier conferences like ISSTA. It details the necessary structure, emphasizing strict scope definition, establishing clear evaluation contracts (subjects, baselines, metrics), pairing every claim with concrete evidence, and adhering to specialized review discipline.

This comprehensive router guides researchers through the entire process of developing, analyzing, and submitting a manuscript to the Journal of Accounting and Economics (JAE). It provides a structured roadmap, helping users determine the next critical step—from initial topic selection and theory development to advanced econometrics, contribution framing, and final submission preparation. It ensures that the work maintains a rigorous, economics-based argument using archival data, preventing common pitfalls like vague ideas or insufficient identification strategies.

This guide helps authors structure and sharpen the core contribution of an empirical paper for applied econometrics journals. It emphasizes shifting focus from pure theory to replicable findings derived from real data, ensuring claims are properly calibrated, and optimizing the 100-word summary for maximum impact.

A comprehensive guide detailing the best practices for drafting a rebuttal letter in response to single-blind peer reviews for applied econometrics journals. Covers critical areas like defending identification, improving inference, and ensuring robustness, while maintaining mandatory synchronization between the revised manuscript and the official data archive.

A comprehensive guide for drafting and polishing academic manuscripts for the Journal of Applied Econometrics (JAE). This skill ensures adherence to strict house conventions, including writing citation-free 100-word abstracts, structuring quantitative findings, correctly reporting estimated coefficients with standard errors, and managing front matter (keywords, acknowledgments, COI statements).

A structured guide for academic authors to sharpen the core methodological contribution of statistics or econometrics papers. It ensures the claim explicitly links a novel method (methodological delta) to a demonstrable practical application (empirical consequence), avoiding overly theoretical or purely descriptive arguments.

This guide provides a structured protocol for authors writing methods papers in statistics or econometrics. It teaches how to define the precise 'delta' (incremental contribution) of a new method by explicitly referencing 3-6 existing state-of-the-art techniques. It emphasizes positioning the work across both traditional econometric theory and modern machine learning/data science literature, ensuring the contribution is clearly stated against named prior methods, not as a general survey.

This guide provides a structured methodology for translating highly technical academic papers, particularly in econometrics or macroeconomics, into plain language suitable for a broad scholarly audience (like the Journal of Economic Perspectives). It focuses on removing notation, jargon, and complex mathematical derivations, while rigorously preserving the underlying economic intuition and causal mechanism of the research.

A comprehensive guide for crafting structured and highly technical response letters to academic reviewers, specifically modeled after top-tier economics journals (e.g., JIE). It teaches the precise format for addressing both editorial concerns and complex referee points, covering specialized econometrics and structural modeling fixes for international trade and open-economy macroeconomics.

A comprehensive guide for developing and defending research methodologies for top-tier academic journals, such as the Journal of Management Information Systems (JMIS). It details how to properly design studies—whether they involve econometrics, behavioral experiments, or design-science artifacts—to establish credible causal identification and meet scholarly rigor, while adhering to strict manuscript length limits.

A comprehensive tool designed for authors to assess whether their health-economics manuscript meets the stringent standards of top journals like the Journal of Health Economics (JHE). It guides authors on framing the contribution, ensuring robust causal identification (e.g., IV, DiD, RDD), combining policy relevance with state-of-the-art econometrics, and navigating house style and potential desk-reject risks.

This skill provides a comprehensive framework for evaluating whether an economics manuscript is suitable for top-tier, general-interest journals like the JEEA. It guides authors on elevating niche findings into broadly relevant contributions, covering general-interest framing, methodological rigor (e.g., modern econometrics), structural house style, and pre-submission checklists for top-5 economics outlets.