Skill UI

A comprehensive guide and heuristic tool for assessing whether an academic manuscript is suitable for high-level public administration and policy journals, specifically referencing Public Administration and Policy Review. It details required scope, suitable methodologies (e.g., policy evaluation, case studies, mixed methods), structural requirements (anonymity, abstract formatting), and common rejection pitfalls to guide authors toward rigorous academic writing.

This guide helps authors refine the core contribution sentence for Quantitative Economics (QE) manuscripts. It shifts the focus from complex methodology (machinery) to the clear, quantitative economic answer (the payoff). Learn to structure claims by linking a clear economic question, a measured quantity (estimate, counterfactual), and a broader policy lesson, while explicitly stating scope and uncertainty to meet high academic standards.

This guide outlines the rigorous requirements for preparing a reproducible package for Quantitative Economics (QE) journal submissions. It details the strict standards set by the Econometric Society Data Editor, covering raw data, code, documentation, and handling complex data exemptions to ensure the submission passes the pre-acceptance reproducibility check (DCAS compliant).

A comprehensive guide on transforming clean, empirical coefficients into theoretically robust and broadly impactful economic arguments. It teaches how to construct the necessary conceptual framework, articulating the underlying mechanism and connecting estimates to welfare or policy outcomes, suitable for high-impact academic publications.

This tool guides authors writing on industrial organization, market structure, regulation, and antitrust. It provides a rigorous framework for evaluating whether a manuscript meets the high standards of top-tier IO journals by assessing theoretical models, empirical identification, and policy significance. Use it for venue selection and manuscript re-framing.

A comprehensive guide on preparing and structuring evidence packages for recommender system research, especially for academic submissions. It details how to ensure that all ranking claims, off-policy estimates, and evaluation metrics are end-to-end reproducible by providing artifacts like datasets, split scripts, model checkpoints, and propensity logs in an anonymous, verifiable repository.

A comprehensive framework for designing, auditing, and reporting empirical results in recommender systems research. It covers best practices for handling temporal splits, mitigating evaluation bias (e.g., exposure/popularity), utilizing advanced off-policy estimators (IPS, SNIPS), and structuring the critical link between offline metrics and real-world A/B test results. Essential for academic submissions.

A comprehensive guide for structuring the Related Work section for top-tier recommender systems conferences (RecSys). It advises authors on auditing novelty by positioning their contribution against adjacent research fields (e.g., SIGIR, KDD, WSDM), addressing critical lines (like reproducibility and off-policy evaluation), and ensuring the work is technically distinct from prior or concurrent studies.

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.

This guide outlines best practices for creating quantitative exhibits in dynamic macroeconomics papers. It covers crucial components like Impulse-Response Functions (IRFs), calibration tables, moment-matching results, and policy counterfactuals. The focus is on ensuring the model's mechanism and quantitative fit are clear, legible, and self-contained for expert review.

A comprehensive academic skill designed to guide authors targeting top-tier Chinese policy journals, such as 'Reform.' It helps assess whether a manuscript's core contribution, methodology, and research focus align with the journal's scope (e.g., economic reform, public policy, institutional change). The tool covers academic standards, common pitfalls, necessary structural adjustments, and adherence to specific citation styles (GB/T 7714).

This comprehensive skill guides authors targeting Research Policy. It details the journal's scope, required evidence standards, house style, and common publishing pitfalls. It helps authors frame their work to fit the interdisciplinary field of innovation studies (STI), covering topics from R&D and technology policy to economic implications.