Skill UI

This skill provides a comprehensive guide for authors aiming to submit to *Economist*, a prominent theoretical economics journal. It analyzes the journal's scope—focusing on Chinese modernization, macro policy, and development—and helps authors refine their paper's theoretical depth, methodological rigor, and overall structure to meet high publication standards. It guides the structuring of the argument, identifies common rejection risks, and suggests potential alternative venues.

A comprehensive guide detailing advanced econometric methods for establishing causal relationships in policy evaluations. It covers techniques such as Difference-in-Differences (DID), Instrumental Variables (IV), Regression Discontinuity Design (RDD), and structural modeling. The core focus is bridging the gap between econometric rigor and policy legibility, ensuring that the causal mechanism is explicit in the main text while maintaining formal defense in the appendix.

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.

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 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.

A guide for structuring rigorous economic policy manuscripts for a dual audience. It dictates that the main text must be non-technical and policy-first, written accessibly for policymakers, while all technical derivations, proofs, and full estimators are relegated to the appendix to maintain academic rigor.

A comprehensive guide to the rigorous theoretical foundations required in advanced econometrics and theoretical statistics. It covers proving identification conditions (parameter uniqueness), deriving limiting distributions (asymptotics), and establishing existence and uniqueness from fundamental axioms. Essential for manuscripts requiring deep methodological proof, particularly for top-tier academic journals.

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.

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 comprehensive guide for structuring, auditing, and writing mathematically rigorous proofs for advanced academic papers, particularly in econometrics and statistics. It covers everything from defining assumptions and stating self-contained theorems to applying advanced proof techniques (e.g., fixed-point theorems, CLT). Use this when your central result requires impeccable rigor and completeness for top-tier publication.

A comprehensive router designed to guide researchers through the entire lifecycle of writing a highly rigorous academic paper for top-tier econometrics journals, such as Econometrica. It outlines the necessary steps—from initial topic selection and theoretical positioning to detailed identification checks, robustness testing, and final submission package assembly—ensuring the manuscript meets the highest standards of mathematical rigor and scholarly depth. This guide does not replace specialized skills but dictates the optimal sequence of research stages.