Skill UI

This comprehensive guide details how to build a robust, credible, and shareable replication package for a Journal of Economic Geography (JEG) manuscript. It focuses heavily on documenting spatial data provenance, handling version control for boundaries and projections, and scripting complex spatial joins to preempt reproducibility concerns, even though JEG's policy is post-acceptance.

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.

This guide provides essential best practices for presenting spatial evidence in academic papers, particularly in economic geography. It emphasizes that maps and tables must make an explicit argument—show variation, spatial discontinuity, or gradients—rather than merely decorating the data. Learn how to properly report spatial model coefficients, handle projections, and avoid common cartographic and statistical pitfalls.

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.

A comprehensive academic guide for refining research questions intended for the Journal of Economic Geography (JEG). It implements a rigorous "two-community test," ensuring the topic successfully bridges geographical economics (quantitative models) and human geography (place-based studies). Use this checklist before major data collection to validate the mechanism and justify the spatial role of the research.

This guide provides essential stylistic rules for writing academic manuscripts intended for interdisciplinary audiences, specifically bridging economics and geography. It helps authors structure their arguments, translate complex technical apparatus into prose, and ensure the spatial contribution is legible to both economic and geographical scholars without diluting the core findings.

This guide helps authors assess the suitability of their manuscript for the Journal of Economic Geography (JoEG). It is a comprehensive tool for interdisciplinary papers spanning spatial economics, regional development, and cluster analysis. It covers academic fit, methodological rigor (including spatial inference), structural requirements, and common rejection pitfalls, helping authors effectively re-frame their work for target academic venues.

A comprehensive skill designed for academics submitting papers in urban, regional, or spatial economics. It guides authors through evaluating their manuscript's suitability for the Journal of Urban Economics (JUE). The tool emphasizes the necessity of a credible spatial mechanism, robust identification methods (e.g., DiD, RDD), and adherence to high-level empirical and structural modeling standards required by top-tier journals.

A rigorous guide for advanced spatial econometrics, designed to stress-test causal claims in urban and spatial economics papers. It provides a framework to defend against the three critical spatial confounds: selection/sorting, spatial spillovers (SUTVA failure), and spatial autocorrelation. Essential for publishing high-impact work in journals like JUE.

A comprehensive guide for structuring a scientific rebuttal letter after receiving major revisions (R&R) or rejection from a top-tier academic journal. It teaches authors how to triage ambiguous referee reports, address binding spatial econometric concerns (like sorting or SUTVA), and craft a professional, evidence-based response that maximizes the chances of publication acceptance.

This guide provides a comprehensive strategy for crafting high-impact academic manuscripts, specifically addressing the predictable and rigorous critiques of top-tier journals. It teaches authors how to pre-emptively answer common spatial econometric, identification, and theoretical objections (e.g., spatial sorting, spillovers, scale issues) directly within the text, ensuring the paper is robust and credible before submission.

A comprehensive guide detailing the mandatory replication package requirements for submitting empirical papers to the Journal of Urban Economics (JUE). It covers not only standard data and code deposits but also specialized techniques for handling complex geospatial data, geocoding pipelines, and proprietary/confidential restricted data paths to ensure maximum reproducibility.