Skill UI

This guide outlines the specialized strategy for revising academic papers following a panel discussion at Economic Policy (EP). Since the discussants' comments are published alongside the final paper, the rebuttal must be fully integrated into the revised text. It teaches systematic triage—deciding whether to fix, concede, or defend every critique—to maintain academic rigor and policy coherence.

This skill guides authors preparing manuscripts for academic journals, specifically addressing the unique 'Panel Review' model (like those at Economic Policy). Instead of standard anonymous refereeing, the paper faces a live debate from two named discussants (Academic and Policy). It teaches authors how to 'war-game' these experts, anticipating their specific objections on rigor and relevance, and planning pre-emptive fixes or precise live rebuttals.

A comprehensive guide for structuring and communicating robustness checks in economic policy papers. It teaches authors how to organize tests not as a checklist of alternative specifications, but by the specific threat (e.g., sample size, functional form, pre-trends) they neutralize. The focus must remain on defending the policy-relevant magnitude and confidence interval in the main text, preventing the paper from becoming a mere appendix dump.

This comprehensive guide details the specific, commissioned submission process for the Economic Policy journal. It serves as a crucial preflight checklist for authors, covering all necessary stages: from developing a timely policy pitch and creating a conference-ready draft, to preparing the final camera-ready version. It is vital for authors to understand that EP operates via an invitation system and does not accept open submissions.

This guide outlines rigorous standards for incorporating theoretical and quantitative models into economic policy manuscripts. It emphasizes that models must be minimal, transparent, and directly bear policy weight—converting estimates into statements about welfare, fiscal costs, or clear mechanisms. It teaches how to design models that pass 'the necessity test,' ensuring policymakers can trace headline numbers directly back to key, identifiable assumptions.

This skill guides users through assessing the viability and timeliness of a research topic for a high-level policy journal. It evaluates whether a question meets stringent criteria—including first-order policy stakes, current global relevance, and empirical tractability—to be featured in a panel debate. It is essential for turning an academic idea into a publishable, policy-relevant narrative.

This skill acts as a comprehensive router for developing manuscripts for top-tier policy economics journals, such as Economic Policy (EP). It does not replace specialized analysis skills but guides the user through the optimal sequence of specialized steps—from initial topic pitch and literature positioning, through modeling and robustness checks, to managing panel discussions and final revisions. It ensures the paper meets the dual standard of academic rigor and policy accessibility.

This guide teaches how to precisely position a new research result within the formal theoretical lineage of existing literature. Unlike a general literature review, this method focuses on defining the formal relationship (e.g., nesting, generalization, assumption weakening) between your contribution and the closest prior work, minimizing credibility risks in academic publishing.

This comprehensive guide teaches authors how to structure a professional rebuttal letter and perform rigorous revisions following referee reports, particularly in econometrics. It details how to address proof gaps, incorporate new evidence, and maintain consistency across the entire manuscript package.

A comprehensive pre-submission strategy guide designed to 'red-team' theoretical and econometric manuscripts. This tool helps authors anticipate and pre-empt harsh critiques from expert co-editors and referees, focusing specifically on identifying proof gaps, testing the generality of claims, ensuring finite-sample evidence, and addressing potential methodological competitors before journal submission.

Provides a comprehensive guide on generating and reporting rigorous Monte Carlo and finite-sample evidence for econometrics and statistical methods papers. It details best practices for designing simulations, stress-testing assumption boundaries (degenerate cases), comparing against existing estimators, and ensuring full reproducibility to validate theoretical results for realistic sample sizes.

A specialized guide for polishing academic manuscripts, particularly in econometrics and theoretical sciences. It enforces a terse, formal, and highly structured writing style, ensuring all definitions, assumptions, and theorems are numbered and displayed correctly. Ideal for turning narrative drafts into submissions suitable for top-tier academic journals.