Skill UI

Mandatory package structure for submitting accepted empirical papers to the Quarterly Journal of Economics (QJE). It ensures complete research reproducibility by organizing raw data, derived files, and analysis code. This package guides authors in creating a comprehensive, self-contained deposit that allows any investigator to regenerate every figure, table, and result published in the manuscript, adhering to strict academic data-availability policies.

This guide outlines the comprehensive steps required to convert an accepted, anonymous academic paper into its final, published 'camera-ready' version for major conferences (e.g., RecSys). It covers crucial tasks such as restoring author details, affiliations, funding, integrating rebuttal promises, ensuring proper ACM two-column reflow, and managing public code/data repository release.

This guide details the strategic placement of supplementary evidence (e.g., tuning grids, ablation studies, code) for academic submissions, particularly in conference formats like RecSys. It clarifies the difference between material belonging in the main body, the page-counted appendix, and the anonymous repository, ensuring that critical findings are visible and adhere to strict page budget constraints.

This guide establishes the rigorous policy for submitting computational and empirical papers to academic journals. It mandates that authors provide sufficient data, source code, and detailed documentation (including execution order, random seeds, and OS used) to ensure that research findings can be fully reproduced by others, adhering to global standards like Option C.

Guides authors through the rigorous, end-to-end lifecycle of submitting a paper to the Review of Economic Dynamics (RED). It acts as an orchestration checklist, covering critical stages from initial scope definition and quantitative modeling to data archiving, manuscript formatting, fee payment, and handling revisions. It ensures authors maintain methodological rigor and code-first discipline throughout the entire academic publishing process.

Provides a comprehensive preflight checklist for authors submitting manuscripts to Research Policy (RP) via the Elsevier online system. It guides authors through critical steps, including double-blind anonymization, confirming article scope (anchoring in innovation studies), selecting the correct article type (Full Article vs. Research Note), and ensuring all required declarations (data/code, funding) are included before final submission.

This guide details how to assemble a submission-ready replication package for top academic journals, such as The Review of Economic Studies (REStud). It covers the necessary repository structure, mandatory README sections, and coding best practices (e.g., master scripts, relative paths, version pinning) to ensure that the data and code can be fully reproduced and verified by journal editors before publication.

This comprehensive guide outlines the rigorous standards for creating publication-grade tables and figures for top-tier academic journals, such as The Review of Economic Studies. It emphasizes the principles of elegance, economy, and self-containment. Authors must ensure that every exhibit carries one single, clear result, presents interpretable magnitudes (not just stars), and is generated programmatically from code to guarantee reproducibility and consistency.

This tool guides the transformation of a coded, screened corpus into a robust analytical spine for academic synthesis. It moves beyond simple annotated bibliography summaries by requiring the construction of a conceptual framework (e.g., taxonomy, theoretical model, tensions). This structure ensures the review advances theory or policy, providing a coherent, critical argument for the field.

A comprehensive checklist for preparing academic manuscripts for submission to major financial journals. It guides authors through formatting rules, ensuring double-blind anonymization, preparing the Internet Appendix, writing a detailed cover letter, and addressing mandatory code release conditions, ensuring readiness before final portal submission.

Provides comprehensive guidelines for creating publication-grade, self-contained tables and figures for top finance journals, such as The Review of Financial Studies (RFS). It covers best practices for rigorous statistical reporting, emphasizing standard error reporting, economic magnitude, and ensuring that all presented results are fully reproducible from the source code.

A comprehensive guide for authors submitting manuscripts to the RAND Journal of Economics (RJE). It details how to build a robust, reproducible replication package, focusing on creating a master script, pinning the computational environment, and properly documenting restricted datasets. It specifically addresses RJE's unique policy, which does not mandate formal data or code deposits, while ensuring academic rigor is maintained for reviewers.