Skill UI

This guide helps researchers structure the institutional background section of advanced finance manuscripts. It emphasizes moving beyond general descriptions to precisely articulate regulatory rules, market segmentation, and ownership structures. The goal is to transform descriptive text into clear evidence for identifying exogeneity and analyzing policy shocks in empirical studies.

A comprehensive guide on transforming preliminary research findings into publication-quality manuscripts for top-tier finance journals. It covers best practices for slimming over-wide regression tables, generating standardized figures (IRF, Event Study), ensuring continuous numbering, and adhering to strict academic formatting standards.

A comprehensive guide detailing best practices for constructing rigorous and legible tables and figures for health economics manuscripts, particularly for the Journal of Health Economics (JHE). It covers presentation requirements for main policy estimates, identification figures (e.g., event studies, RD plots), and descriptive institutional exhibits, ensuring that the health setting and causal effects are immediately apparent to expert readers.

This guide provides a comprehensive pre-submission preflight checklist for manuscripts targeting the Journal of International Business Studies (JIBS). It ensures authors meet all structural, formatting, and ethical requirements, including double-blind anonymization, adhering to the JIBS Style Guide, managing word counts, and complying with Data Accessibility Statement (DART) policies before submitting to the Springer Nature portal.

This guide provides comprehensive, advanced econometric strategies for ensuring robust identification in international economics manuscripts, specifically for high-impact journals. It covers modern approaches for gravity models (using PPML), staggered trade-policy shocks (Callaway-Sant'Anna), shift-share analyses, and structural open-economy modeling. It helps authors stress-test their research designs against rigorous academic standards.

This comprehensive guide details the strict replication and data deposit policies required by the Journal of International Economics (JIE). It ensures that all components—including raw data, cleaning scripts, structural solver code, and master scripts—are properly deposited in a secure repository (like Mendeley Data) before publication acceptance, guaranteeing full research reproducibility.

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 and package structure for preparing empirical law and economics manuscripts for journal submission, ensuring full data and code reproducibility prior to publication. It mandates the assembly of data files, transformation scripts, a master execution script, and detailed README documentation, explicitly addressing the unique challenges of restricted or proprietary legal data sources (e.g., sealed court records).

This guide details how to assemble a comprehensive, reproducible replication package for academic manuscripts, especially in fields relying on complex institutional data (e.g., court records, contracts). It mandates creating a one-command master script, documenting the entire data pipeline from raw sources to final exhibits, and providing detailed protocols for hand-coded variables and data provenance. The goal is to ensure that any researcher can perfectly reproduce every finding.

This guide provides best practices for designing tables and figures for economics manuscripts, specifically following the conventions required by journals like JLEO. It emphasizes foregrounding the institutional or organizational comparison, ensuring exhibits are self-contained, and converting implied arguments (like comparative statics or event studies) into visible, persuasive graphical evidence.

A comprehensive guide for conducting and reporting rigorous statistical analysis for academic marketing manuscripts, particularly tailored for the Journal of Marketing (JM) standards. It covers selecting appropriate estimators for various designs (e.g., panel, choice, field experiments), managing identification, testing robustness, and adhering to the mandatory reporting of p-values, standard errors, and managerial effect sizes. Also covers data replication and advanced econometric techniques.

This guide provides detailed instructions on structuring the online appendix for high-impact academic manuscripts. It emphasizes the critical balance between maintaining a self-contained, readable main text and providing comprehensive, verifiable supporting material. Learn how to properly place derivations, robustness checks, and data construction details to enhance the scientific rigor and credibility of your research.