Skill UI

This guide helps researchers elevate general empirical ideas (e.g., 'X affects Y') into rigorous, theory-driven accounting contributions. It outlines four sources of academic contribution, identifies key areas (auditing, financial accounting, governance), and teaches how to anchor research in specific accounting mechanisms and China's institutional context, meeting the standards of top-tier accounting journals.

This skill provides a rigorous framework for assessing whether a scholarly manuscript meets the exceptionally high theoretical and conceptual standards of Administrative Science Quarterly (ASQ). It guides authors on identifying the core theoretical contribution, evaluating the required research craft (qualitative or quantitative), and restructuring the paper to align with the sociology of organizations discourse, moving beyond mere empirical findings.

A comprehensive guide for submitting pure mathematics research to Advances in Mathematics. It details the journal's high standards, broad scope (covering algebra, topology, number theory, etc.), required proof rigor, house style, and submission checklist. Use this skill when assessing if a general-interest, high-quality mathematical paper is suitable for this broad-scope, selective academic venue.

This skill is a comprehensive guide for authors preparing microeconomic theory, game theory, or theoretical IO manuscripts for submission to the American Economic Journal: Microeconomics. It analyzes journal fit, required theoretical rigor, methodological standards, house style, and potential pitfalls (desk-reject heuristics), helping authors refine their work before formal submission.

This guide provides a methodology for integrating theoretical models into empirical economics papers, especially for journals emphasizing empirical findings (e.g., AEJ: Applied). It teaches researchers how to ensure that theoretical components—such as mechanisms, welfare statements, or counterfactuals—serve to interpret, sharpen, or guide the existing empirical estimates, rather than leading the paper or replacing the core identification provided by the design. Focus on sufficient statistics and minimal model assumptions is key.

This guide provides a structured methodology for articulating the unique and marginal contribution of a scholarly paper, particularly within macroeconomics. It teaches authors how to bridge the gap between theoretical modeling (quantitative-theory) and data-driven evidence (identified-empirical), ensuring that the novelty and scope are clearly communicated to a broad, general expert audience.

A comprehensive guide for authors developing quantitative macro models (DSGE, HANK, etc.). It outlines the rigorous standards required for parameter calibration, structural identification, solution accuracy, and counterfactual validity, ensuring the model's results are defensible and publishable in top-tier academic journals.

A comprehensive guide for authors aiming to rigorously prove the validity and robustness of their economic findings for top-tier journals. It covers three major pillars: pure theory (identifying load-bearing assumptions), structural econometrics (mapping parameters to data features), and experimental design (defining the estimand). Learn how to move beyond 'convergence' and establish true identification.

A guide for authors needing to precisely position their theoretical contribution against existing literature. It teaches how to identify the 'delta'—the exact difference (e.g., weaker assumption, new environment, full characterization)—relative to the single closest academic result, rather than making vague claims about the field as a whole.

A comprehensive guide for academic researchers detailing how to structure and write a precise, point-by-point rebuttal letter following a major journal's Request for Revision (R&R). It covers addressing referee concerns regarding proof correctness, theoretical generality, and scope, ensuring the revision plan is rigorous and addresses the editor's central concerns.

This comprehensive guide helps authors stress-test their manuscripts against the highly specialized and rigorous objections typically raised by expert referees for the American Economic Journal: Microeconomics (AEJ: Micro). It provides a crucial checklist to pre-empt common criticisms regarding assumptions, theoretical positioning, proof completeness, and general contribution, significantly improving the manuscript's readiness for submission.

A comprehensive guide for submitting high-quality replication packages for academic journals like the American Economic Journal (AEJ: Micro). This package covers two essential components: self-contained, verifiable proofs for theoretical claims (the Proof Appendix), and a fully reproducible code and data deposit (the Code/Data Repository). It ensures that all numerical results, simulations, and empirical findings can be regenerated by the journal's editor, maintaining the highest standards of scientific transparency.