Skill UI

A comprehensive guide for authors targeting global ecology and biogeography journals. It assists in evaluating whether a manuscript addresses global or large-scale patterns of biodiversity, tests macroecological theory, and meets rigorous spatial-statistical standards. Covers scope, methodology, and submission best practices.

A comprehensive guide for establishing robust causal links in environmental economics. It covers advanced econometric techniques for policy evaluation, including staggered Difference-in-Differences (DiD), Instrumental Variables (IV), and Regression Discontinuity Designs (RDD). It specifically addresses challenges in non-market valuation, such as spatial sorting, hypothetical bias, and separating weather shocks from long-term climate trends, ensuring the recovered parameter is welfare-relevant.

A comprehensive guide for authors on structuring professional and scientifically sound rebuttals to major journal peer reviews (e.g., JEEM). It teaches how to triage demanding feedback, address core methodological critiques (spatial confounding, leakage, valuation bias), and maintain a collegial, evidence-based tone to strengthen the manuscript.

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 framework designed to ensure environmental economics manuscripts meet rigorous data-availability and reproducibility standards, especially for journals like JEEM. This package guides users to document the entire research pipeline, handling complex issues like data versioning, proprietary satellite/admin data, and multi-step spatial operations by establishing a credible end-to-end reproduction path.

A comprehensive methodological guide detailing the robustness checks expected by environmental economics journals (e.g., JEEM). It provides a checklist of targeted statistical tests—including spatial inference, handling omitted variables, and varying market definitions—to ensure key welfare estimates are stable and not artifacts of specification choices. Essential for academic research in environmental and resource economics.

A comprehensive guide for environmental economists on transforming raw analysis results into publication-grade exhibits suitable for JEEM/Elsevier. Focuses on moving beyond simple regression coefficients to visualize spatial variation (maps), temporal dynamics (event studies), and welfare changes (WTP curves), ensuring the core environmental signal is clearly communicated to referees and readers.

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.

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.

This guide provides advanced strategies for positioning a research contribution within the complex academic landscape of Economic Geography. It emphasizes that strong positioning must bridge multiple, distinct scholarly frontiers (e.g., quantitative-spatial economics and evolutionary geography) rather than focusing on a single literature, ensuring the work meets the rigorous standards of top-tier journals.

A comprehensive guide for authors submitting manuscripts to cross-disciplinary journals (e.g., Economics and Geography). It details how to anticipate and pre-emptively address systematic objections from two distinct scholarly communities, ensuring the paper satisfies both rigorous quantitative methods and deep spatial theory. Use this when your work bridges two fields and needs to survive double-anonymous review.