Skill UI

A comprehensive preflight checklist designed for submitting manuscripts to the Journal of Business & Economic Statistics (JBES). This guide ensures authors have verified all necessary components—including the data/code supplement, conflict disclosures, and cover letter targeting—against the latest academic standards. It functions as a critical final review step before formal submission, emphasizing the need to cross-reference live journal guidelines.

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.

A comprehensive guide for authors submitting to the Journal of Corporate Finance (JCF). It details how to comply with Elsevier's Option C data availability requirements, focusing on drafting the data availability statement and structuring the research archive. It provides best practices for handling licensed, proprietary data (e.g., Compustat, CRSP) by recommending the sharing of construction code and access instructions, rather than raw data deposits.

This comprehensive guide establishes the rigorous methodological standards for developing credible causal identification strategies in development economics. It details best practices for modern quasi-experimental methods, including RCTs, DID, IV, and RDD. Authors learn how to meet the high empirical norms required by top-tier journals by ensuring robustness, addressing biases (e.g., TWFE), and validating external validity.

A comprehensive guide for structuring and presenting robustness checks in high-impact economics journals, such as JEEA. It advises authors to organize checks around the *threat* to the claim (e.g., omitted variables, weak instruments) rather than simply adding more specifications. Focus on stable magnitude and reproducibility, ensuring the main finding survives credible perturbations.

This guide equips researchers with advanced strategies to anticipate and neutralize the highly specialized objections raised by environmental and resource economists. It covers core methodological pitfalls such as spatial confounding, hypothetical bias, leakage effects, sorting issues, and welfare overreach. By structuring the paper preemptively, authors can significantly increase robustness and dramatically improve the likelihood of successful publication.

A comprehensive guide for academic authors on how to structure theoretical and econometric models in environmental economics. It details what constitutes a 'policy-relevant' model—one that generates testable welfare expressions, optimal policy predictions, or comparative statics that inform regulatory decisions, moving beyond mere descriptive intuition.

Provides comprehensive guidelines for authors submitting empirical, quantitative, or theoretical growth papers. It details how to package data sources, code pipelines, calibration files, and historical/geospatial artifacts to meet stringent reproducibility standards for publishing journals.

This comprehensive guide provides advanced methodological strategies for authors submitting to the Journal of Economic Geography (JEG). It addresses critical challenges in establishing causal inference using spatial data, such as spatial autocorrelation, spillover effects (SUTVA violations), and structural elasticity identification. It covers modern techniques for spatial DID, Network Equilibrium Models (NEG), and qualitative case studies, ensuring methodological rigor.

A comprehensive guide for authors in spatial economics on conducting rigorous robustness checks. It systematically addresses common spatial threats—such as the Modifiable Areal Unit Problem (MAUP), spatial weight matrix sensitivity, and spatial autocorrelation—to ensure published results are scientifically sound and not artifacts of the data definition or model specification. Essential for high-level academic submissions.

A comprehensive guide for authors publishing in economic geography journals, detailing how to structure manuscripts to satisfy both economic and geographical communities. It provides methodological advice on transitioning between formal NEG/quantitative-spatial models and conceptual/evolutionary frameworks, ensuring that the underlying mechanisms and assumptions are transparent and testable.

This tool provides a comprehensive pre-submission checklist designed for authors submitting survey papers (either a proposal or a full draft) to the Journal of Economic Literature (JEL) via the AEA portal. It ensures compliance by verifying JEL codes, disclosure statements, data availability, and adherence to style guides, helping authors finalize their submission package.