Skill UI

Use this skill to rigorously evaluate whether a finance research question meets the high quantitative and empirical standards required by the Journal of Financial and Quantitative Analysis (JFQA). It guides authors through a comprehensive checklist, assessing financial object, quantitative core, identification feasibility, and novelty, helping authors optimize their academic contribution before investing time and submission fees.

A specialized guide for advanced academic research, focusing on moving beyond generic mediation regression. It teaches methods to identify and empirically prove specific financial transmission channels (e.g., credit, risk-taking, balance sheet, information) required by top-tier financial journals. This ensures the mechanism analysis is grounded in concrete, measurable financial variables.

Provides a comprehensive framework for conducting and reporting robustness checks in health economics studies. It guides authors to organize findings by addressing specific threats to the core claim (e.g., selection bias, concurrent policy changes, measurement error) rather than simply appending multiple specifications. Essential for ensuring results are stable and defensible for top-tier journal submissions.

This comprehensive guide provides rigorous methodological guidelines for executing and reporting empirical analysis on cross-national, multi-level, or panel data, specifically tailored for top-tier international business journals. It covers essential checks like measurement invariance (configural to scalar), Common Method Variance (CMV), dynamic endogeneity, and appropriate estimation techniques (e.g., Multilevel SEM, GMM), ensuring research meets the highest academic standards.

A specialized guide for structuring rigorous empirical studies, particularly for journals like JIBS. It helps researchers map their research phenomenon to the correct cross-country, multilevel, or panel design. Critically, it mandates planning for advanced econometric issues—including common-method variance, measurement equivalence, and dynamic endogeneity—at the initial design stage to ensure methodological rigor.

A comprehensive guide for authors preparing a major revision and response letter after a top-tier academic journal review (e.g., JIBS). It details the necessary workflow, including prioritizing feedback from the area editor, executing complex methodologies (cross-national measurement, CMV, endogeneity, invariance testing), and structuring a precise, point-by-point response to demonstrate rigorous compliance with journal standards.

This guide assists in creating high-quality, journal-ready exhibits (tables and figures) specifically for the Journal of International Business Studies (JIBS). It covers complex topics like cross-country descriptives, measurement-invariance tests, main results presentation, and cross-level interactions. The focus is on ensuring statistical rigor, strict adherence to journal style, and effective word count management for cross-border academic publications.

This skill guides authors in building and auditing tables and figures for submissions to the Journal of International Economics (JIE). It emphasizes that all exhibits must be self-contained and immediately understandable by a specialized referee. Focus areas include gravity tables, event-study plots, structural counterfactual charts, and how to report economic magnitudes (e.g., elasticity) rather than just statistical significance.

This guide provides a comprehensive framework for conducting rigorous cross-national data analysis, essential for academic research in international business. It covers critical advanced statistical methods like Measurement Invariance Testing (MGCFA), Multilevel Modeling (HLM), and Multi-Group SEM. It instructs users on handling cross-level moderation, interpreting country-level effects, and ensuring results are statistically auditable across complex data structures (e.g., panels, dyads).

A comprehensive methodology guide for designing rigorous multi-country or cross-cultural studies, essential for international marketing research. It covers critical steps such as country selection criteria, ensuring construct, translation, and sampling equivalence, and planning for measurement invariance (MGCFA). It guides researchers through advanced designs including cross-cultural experiments, multi-level estimation, and handling secondary export/entry-mode data.

A comprehensive guide for constructing and validating cross-country and time-series panel data in international macro-finance. It addresses common pitfalls in measurement choices (e.g., gross vs. net flows, USD vs. NEER), sample period justification (e.g., GFC, ZLB), and frequency mismatch, ensuring methodological rigor required by top-tier journals.

A comprehensive guide on structuring robustness checks for academic papers, particularly for Law, Economics, and Organization journals. Instead of simply listing additional tables, this method teaches how to organize checks by specific theoretical threats (selection bias, endogeneity, measurement error, alternative mechanisms) to strengthen the core institutional claim and anticipate referee criticism.