Skill UI

This guide outlines the rigorous method for developing econometrically testable hypotheses for accounting research, particularly for high-tier journals. Instead of relying on vague constructs, it teaches how to ground predictions in core economic theories like information economics, agency theory, and contracting frictions. It helps researchers build a clear mechanism by specifying the agent's optimization problem, identifying the core friction, and deriving conditional, testable predictions.

This comprehensive guide details the rigorous methodological standards required for validating new statistical estimators, tests, or algorithms. It moves beyond simple causal inference, emphasizing foundational proofs of identification, regularity conditions, asymptotic consistency, and finite-sample robustness. It serves as a checklist for assuring the credibility and reliability of methods in academic statistical journals.

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 tool guides users through the rigorous scope requirements for submitting research to the Journal of Business & Economic Statistics (JBES). It ensures that a project possesses both methodological novelty and clear empirical relevance, particularly in microeconomics, macroeconomics, business, and finance. It serves as a critical sanity check, preventing submissions that are purely theoretical or purely applied without methodological contribution.

This router guides authors through the entire lifecycle of a manuscript submitted to the Journal of Business & Economic Statistics (JBES). It does not perform analysis, but rather diagnoses the current bottleneck—whether in topic selection, data analysis, or rebuttal—and directs the user to the appropriate specialized skill within the JBES workflow, ensuring the work maintains both methodological novelty and empirical relevance.

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 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.

A comprehensive skill for constructing robust theoretical arguments for entrepreneurial phenomena, specifically tailored for high-level academic journals. It guides the user in identifying the core causal mechanism, selecting the appropriate multidisciplinary lens (economics, psychology, or sociology), and choosing between deductive hypothesis testing or interpretive narrative theory. This ensures the theory is specific to the entrepreneurial context, avoiding generic organizational models.

This comprehensive guide assists authors in navigating the critical steps after manuscript acceptance in academic journals, particularly in CAD and Graphics. It covers de-anonymization (adding acknowledgments, funding, and real links), meticulous formatting checks, ensuring high print quality (resolution, color fidelity), rigorous proofreading protocols, and managing copyright requirements to ensure a smooth transition to final publication.

A comprehensive guide detailing the conventions for constructing high-quality empirical tables and figures, especially for corporate finance and econometrics journals. Covers best practices for reporting summary statistics, fixed effects, clustering, event-study/CAR plots, and ensuring self-contained notes for academic publication.

This guide provides best practices for presenting empirical results in development economics, emphasizing a 'figure-forward' approach suitable for top-tier journals. It teaches researchers how to transform complex statistical models (like DID, RDD, and ITT) into clear, self-contained, and impactful visual exhibits (plots and maps). The goal is to ensure that the headline findings are immediately legible to expert referees, moving beyond traditional, complex coefficient tables.

This router serves as a comprehensive guide for authors submitting manuscripts to the Journal of Development Economics (JDE). It does not replace any specialized skill but diagnoses the current stage of the research and identifies the optimal next step—whether it involves refining the contribution framing, strengthening the causal identification, structuring figures, or preparing a rebuttal letter. Use it when you are unsure how to proceed.