Skill UI

This skill guides the setup of Odoo for international operations, ensuring strict adherence to country-specific fiscal regulations. It manages complex localization requirements across 80+ countries, including setting up country-specific charts of accounts (CoA), configuring VAT/GST rules, and integrating mandatory e-invoicing systems (e.g., Mexico CFDI, Italy FatturaPA, Poland SAF-T). Essential for achieving full tax and financial compliance in global markets.

This framework helps researchers rigorously pressure-test their sociological projects to determine if they align with the scope of a major quantitative, comparative journal like the European Sociological Review (ESR). It guides users on moving beyond single-country descriptions by focusing on portable mechanisms, cross-national variation, and longitudinal designs to ensure the work advances social theory.

This guide provides advanced methodological guidance for establishing causality and identifying policy effects within complex international macro datasets. It covers best practices for cross-country panel analyses, high-frequency policy surprise detection, crisis event studies, and structural modeling, ensuring that observed variation is rigorously linked to policy-relevant factors, respecting cross-country dependence and global shocks.

A comprehensive guide for researchers submitting to the IMF Economic Review (IMFER). It teaches authors how to anticipate the toughest, predictable critiques from international macroeconomic and policy referees—such as cross-country bias, policy overreach, and identification weaknesses. By pre-empting these objections, authors can significantly strengthen their manuscript structure before formal submission.

This skill guides users on whether their international economics manuscript fits the scope, theoretical depth, and methodological requirements of the International Economic Review. It analyzes the journal's focus (global governance, open policies), required evidence (FDI, GVC, cross-country data), and common submission pitfalls, helping authors improve manuscript structure and increase acceptance chances.

This comprehensive guide outlines the rigorous methodology required for empirical and theoretical growth studies, particularly for high-impact journals like JEG. It covers best practices for cross-country panel data analysis, calibration techniques, spatial inference (Conley SEs), and structuring robust manuscripts. Use this checklist when estimating growth outcomes, simulating transition paths, or conducting deep sensitivity analyses for development economics.

A comprehensive guide for preparing high-quality tables and figures, specifically tailored for submissions to the Journal of Economic Growth (JEG). It dictates the necessary narrative flow—from identifying empirical facts to detailing mechanisms, model estimates, and robustness checks. The guide covers best practices for map generation, handling cross-country panels, and ensuring that all exhibits collectively tell a clear, coherent story about economic growth and its underlying mechanisms.

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.

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.

A guide for developing robust, theory-driven hypotheses for top-tier international business journals (e.g., JIBS). It focuses on specifying cross-level logic (country/culture $\rightarrow$ firm/individual), identifying boundary conditions, and grounding arguments in established IB theoretical traditions. It teaches how to move beyond merely running data in a foreign context to making the international environment itself a causal variable.

This guide provides comprehensive methodological frameworks for conducting rigorous empirical analyses in international trade and macroeconomics, particularly tailored to the standards of top-tier journals like the JIE. It covers assembling bilateral trade and cross-country panels, estimating gravity models using PPML, implementing local projections, and calibrating structural open-economy models. It ensures analyses are robust, replicable, and address common referee criticisms.

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).