Skill UI

This guide teaches advanced techniques for writing literature reviews in top-tier economics journals. The core principle is moving beyond simply listing past work; instead, you must precisely position your contribution by defining the delta (difference) relative to specific, foundational academic papers. Learn to articulate your unique value by highlighting improved identification strategies, clearer mechanisms, or novel parameters.

A highly specialized guide for drafting a rebuttal letter following a revise-and-resubmit (R&R) at top-tier economics journals. It provides a structured, point-by-point framework for professionally conceding, refuting, or upgrading evidence in response to highly technical peer reviewer comments (e.g., identification, modern DID, inference).

A comprehensive guide designed to verify academic manuscripts against journal-specific guidelines (e.g., CEQ). It covers all critical aspects before submission, including citation style (author-date, not footnotes), abstract limits, keyword selection, JEL coding, document anonymity, and data reproducibility, ensuring a smooth submission process and minimizing formatting rejections.

This guide helps users transform weak research ideas, correlations, or policy descriptions into strong, internationally generalizable, and causally identifiable research questions suitable for top-tier academic journals. It emphasizes establishing exogenous variation, clear underlying mechanisms, and structural modeling potential to elevate research quality.

This tool acts as a workflow router for submitting manuscripts to the China Economic Quarterly (CEQ). It guides researchers through the entire academic publishing process, from initial topic positioning and literature review to advanced econometrics, figure creation, and handling reviewer reports (R&R). It ensures the manuscript meets the high standards of international dialogue and robust identification required by top-tier Chinese academic journals.

A comprehensive guide for drafting and revising highly rigorous academic abstracts for top-tier finance and economics journals. It enforces a strict five-sentence structure (Problem, Data/Method, Findings, Mechanism, Contribution) while ensuring quantitative depth and semantic alignment between Chinese and English versions. It teaches how to eliminate common academic filler phrases and elevate the contribution narrative.

A comprehensive guide for strengthening causal identification strategies in empirical finance and economics. It covers advanced quasi-experimental designs like Difference-in-Differences (DID), Instrumental Variables (IV), Regression Discontinuity (RDD), Propensity Score Matching (PSM), and Double Machine Learning (DML). Use this framework to stress-test your research design, address common econometric pitfalls, and ensure your paper meets the rigorous standards of top academic journals.

A comprehensive guide for structuring and refining the literature review section of academic manuscripts for top-tier finance and economics journals. It covers the mandatory three-layer structure (Theory, Empirical Evidence, Contribution Gap), optimal Chinese/English citation ratios, and techniques for developing a 'dialogue-based' narrative rather than a simple list, ensuring clear positioning relative to the field's classic theories and recent publications.

A comprehensive guide for conducting rigorous mechanism analysis in empirical finance and economics papers. It covers three main testing paths (Mediation, Replacing Y, Sub-samples), best practices for causal inference (e.g., recommending Bootstrap over Sobel), and the academic structure required for high-impact journals. Focuses on time consistency, theory grounding, and excluding competing explanations.

This guide assists researchers in transforming empirical findings into high-level, institutionally relevant policy implications for top-tier academic journals (e.g., finance and economics). It teaches how to shift focus from actionable 'recommendations' to theoretical 'implications,' ensuring the policy section is evidence-backed, macro-level, and deeply integrated with the paper's core theory and Chinese context.

This comprehensive guide instructs authors on the entire process of responding to reviewer reports (R&R) for academic journals. It details the mandatory structure, tone, and strategic approaches for writing a detailed, point-by-point rebuttal letter, ensuring compliance with double-blind review rules and maintaining academic rigor.

This tool simulates the rigorous editorial process required for high-level journals in finance and economics. It guides authors to transform vague, policy-report-like drafts into precise, academically robust manuscripts. Key functions include eliminating empty-significance phrases, replacing generalizations with causal mechanisms, standardizing tense and person, structuring paragraphs with clear thesis statements, and ensuring all claims are supported by specific evidence and economic interpretation.