Skill UI

A comprehensive guide for pre-submission checks before submitting academic manuscripts to journals like JMF. This checklist focuses heavily on ensuring double-blind anonymity, adhering to strict formatting guidelines (modified APA, structured abstract format), meeting page limits, and providing necessary data availability statements. It serves as the final safety net to prevent rejection at the editor's desk.

This comprehensive guide assists researchers in structuring and refining empirical studies for submission to top management journals. It addresses critical methodological pitfalls, including common-method bias, endogeneity, and multilevel structures. Learn how to correctly match theoretical claims (e.g., causal effects, temporal processes) to appropriate designs (experiments, panel data, meta-analysis) to ensure rigorous scientific validity and statistical integrity.

A comprehensive guide for authors submitting to academic journals, detailing how to structure and build necessary exhibits (tables and figures). It provides distinct guidelines for quantitative work (e.g., SEM results, interaction plots) and qualitative work (e.g., data-structure figures, representative quotes), ensuring all visuals make the argument legible and adhere to strict house style rules.

A comprehensive guide for designing rigorous Monte Carlo simulations and empirical illustrations for methodological papers, particularly in econometrics. It details how to stress assumptions, report necessary metrics (size, power, bias), and structure the evidence to prove a method's theoretical validity and practical utility.

A comprehensive guide detailing the specific review standards and submission requirements for the Journal of Labor Economics (JOLE). This resource covers the single-blind review protocol, the non-refundable submission fee structure, and the expectations of labor-focused referees, emphasizing credible identification, disciplined data work, and replicability.

This comprehensive guide provides a strategic framework for authors responding to a Revise-and-Resubmit (R&R) decision from a top academic journal. It details how to structure the rebuttal letter to satisfy multiple reviewers without alienating the editor, while rigorously maintaining double-blind anonymity, adhering to page budgets, and preserving data replicability for expert analysis.

This guide helps authors structure the Related Work section for top-tier academic journals like the Journal of Software. It focuses on demonstrating incremental contribution (delta-first positioning), structuring the review across multiple software disciplines (e.g., SE, Systems, Databases), ensuring balanced citations (international vs. domestic), and building comprehensive classification frameworks for review papers.

This guide helps researchers structure academic manuscripts submitted to the Journal of Software (JOS). It outlines the critical division between core contributions (which must reside in the main text) and supporting details (which belong in appendices or supplementary materials). Learn how to properly manage experimental results, proofs, and supplementary data to ensure the main narrative remains self-contained and highly impactful.

A comprehensive pre-submission guide designed for authors targeting the Journal of Law and Economics (JLE). It helps determine if a manuscript—combining legal/regulatory questions with empirical or applied economic analysis—meets JLE's high standards for method, evidence, and structure. It covers identification strategies (e.g., DiD, IV), data quality, and common reasons for desk rejection.

Provides comprehensive guidelines for creating a fully reproducible replication package for submissions to the Journal of Political Economy (JPE). It details the required structure, components (README, master script, data), and best practices needed to pass the JPE Data Editor's reproducibility check, ensuring research claims are verifiable and transparent.

This guide helps researchers structure the Policy Contribution Statement required by journals like JPP&M. It teaches how to transform solid research findings and data estimates into actionable, evidence-based policy recommendations. Focus areas include defining the policy conversation, identifying specific regulated actors, ensuring recommendations are within the actor's authority, and strictly linking claims to the empirical evidence provided.

This guide details the optimal structure for writing a high-quality literature review, especially for quantitative economics journals. It advises users to avoid chronological descriptions and instead organize the review around the core method lineage (how a quantity is measured, forecasted, or decomposed) and the specific application gap in China's data context. This ensures the literature review logically and powerfully leads to the paper's unique contribution.