Skill UI

This tool guides researchers through pressure-testing their economic research ideas against the standards of top-tier, general-interest journals (like QJE). It helps diagnose whether a study's 'big idea' and broad implications are compelling enough, ensuring the focus is on the general lesson rather than just the technical method or narrow finding. Ideal for structuring academic arguments and improving manuscript scope.

This skill polishes scholarly prose, abstracts, and introductions to align with the narrative-driven, ambitious style of the Quarterly Journal of Economics (QJE). It focuses on making the core research contribution immediately legible to a general-interest, non-specialist reader, ensuring the big idea lands fast, even in long-form empirical papers. The skill guides users on structuring the 'introduction arc,' stating findings with concrete numbers, and minimizing technical jargon.

A comprehensive guide for drafting persuasive and structured author responses to major academic conference reviews. This methodology teaches how to triage critical concerns, anchor answers strictly to submitted evidence (tables, appendices, repository), and effectively counter common technical pushbacks such as baseline tuning, temporal data leakage, and offline-online gaps, ensuring the response is professional, anonymous, and high-impact.

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 comprehensive preflight guide ensures authors meet all technical and procedural requirements before submitting to academic journals, specifically detailing the steps for the Review of Economic Dynamics (RED). It covers mandatory steps such as confirming submission fees, adhering to strict formatting rules (abstract length, citation style), preparing data archives (Option C), and navigating the journal's specific workflow (ScienceDirect/Editorial Manager). Following this checklist minimizes rejection risks due to formatting or procedural errors.

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.

This comprehensive guide details advanced econometric methodologies required for rigorous causal inference studies. It covers how to defend both the causal identification strategy (DiD, RD, IV) and the quality of variables (handling measurement error, index construction). Learn to meet the stringent standards of top-tier journals by applying techniques like staggered DiD estimators, density testing, and attenuation correction.

A comprehensive guide for executing rigorous empirical accounting studies. This resource details best practices for advanced econometric techniques, including correct standard error clustering (firm-level, two-way clustering), executing identification strategies (DiD, RD, IV/2SLS), validating accounting constructs, and performing extensive robustness checks (falsification, placebo tests). It also emphasizes data provenance and reproducibility, critical for top-tier academic publications.

A comprehensive guide for establishing credible causal inference in accounting and finance research. This methodology covers advanced techniques including Difference-in-Differences (DiD), Instrumental Variables (IV), Regression Discontinuity (RDD), and experimental design. It instructs users on how to move beyond simple controls, defining the specific identifying variation necessary for publishing rigorous, causality-focused academic work.

A comprehensive methodological guide detailing high standards for causal inference in finance research, specifically tailored for top journals like RFS. It covers advanced techniques such as Difference-in-Differences (DID), Instrumental Variables (IV), Regression Discontinuity Design (RDD), and asset-pricing identification, ensuring designs meet rigorous standards for exogenous variation and endogeneity control.

A comprehensive guide for executing and stress-testing empirical analyses in Industrial Organization (IO). It covers structural and reduced-form model diagnostics, advanced inference techniques (e.g., wild-cluster bootstrap), counterfactual validation, and meeting the rigorous robustness standards demanded by top-tier academic journals. Focuses on methodology, not study design.

This guide teaches advanced researchers how to articulate the novel contribution of a research paper, especially for highly competitive finance and economics journals. It provides structured techniques—such as defining counterfactuals, quantifying impacts, and establishing clear generality hooks—to ensure the work is defensible against the highest academic scrutiny and withstand rigorous referee review.