Skill UI

A comprehensive guide to establishing credible causal identification strategies for economic empirical research. It covers advanced quasi-experimental methods such as Difference-in-Differences (DID), Instrumental Variables (IV), and Regression Discontinuity (RDD), alongside structural modeling. The core principle emphasizes the necessity of explicitly stating, empirically defending, and testing all identification assumptions to meet the rigorous standards of top-tier academic economics journals.

A detailed guide for scrutinizing statistical inference in high-level econometric manuscripts, designed to withstand rigorous technical peer review. It covers critical areas such as selecting appropriate clustering levels, handling weak instrumental variables (IV), correcting for multiple hypothesis testing, and ensuring accurate standard error reporting for panel data and causal inference models.

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.

This guide details how to move beyond simple mediation analysis to establish robust, theory-driven causal mechanisms. It outlines advanced econometric strategies, such as exclusion methods, pre-specified heterogeneity testing, and temporal analysis, required to distinguish a primary effect from competing channels, meeting high academic standards.

A comprehensive guide for correcting bias in Difference-in-Differences (DID) analysis conducted with staggered adoption timing or heterogeneous treatment effects. This methodology replaces the biased Two-Way Fixed Effects (TWFE) approach with modern estimators such as Callaway–Sant'Anna, de Chaisemartin–D'Haultfœuille, and Sun–Abraham, ensuring compliance with advanced econometric standards.

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 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.

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.

This comprehensive preflight checklist is designed for authors submitting manuscripts to top-tier academic journals. It guides users through critical compliance areas, including formatting adherence, double-blind anonymization techniques, reference management, word count verification, and the preparation of necessary supplementary files (e.g., funding acknowledgments). Use it to ensure your paper meets the rigorous standards of professional academic publishing.