Skill UI

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 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.

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 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.

A comprehensive guide for finalizing academic manuscripts in finance and economics. It enforces strict formatting rules for regression tables (three-line style, standard error presentation), requires detailed variable definition tables with calculation formulas, mandates specific data source citation, and ensures high-resolution, professionally designed figures, moving beyond simple copy-pasting of results.

This guide outlines best practices for packaging research artifacts (prototypes, datasets, instruments, code) for academic review and permanent public release, particularly in HCI venues like CHI. It covers strategies for creating highly reviewable, anonymous submissions (e.g., claims maps, minimal demos) and establishing robust, licensed, permanent archives (e.g., DOIs, OSF), ensuring research reproducibility and auditability.

A comprehensive guide detailing best practices for achieving research transparency and reproducibility, especially for HCI and related scientific studies. It outlines three critical layers of documentation—Protocol, Analysis, and Data—to ensure that studies can be reliably verified and built upon by the academic community.

This guide provides rigorous methodological standards for authors submitting economic papers to the China Economic Quarterly (CEQ). It emphasizes aligning research with international top-field standards, requiring clean causal identification, structural modeling, and advanced econometric techniques (e.g., modern DID, IV, RDD). Use this to strengthen your paper's technical rigor and ensure its contribution is methodologically sound for top-tier Chinese journals.

This guide outlines the rigorous academic requirements for submissions to the China Sport Science journal. It covers both natural sciences (physiology, biomechanics, exercise medicine) and social sciences (sports sociology, policy, management). Submissions must address core sport science ontology problems with high methodological rigor, ensuring the contribution is central to the field, rather than merely applying other disciplines.

This guide outlines the scope and submission requirements for the journal China Sport Science and Technology. It focuses specifically on application-oriented exercise science, covering competitive training, physical conditioning, physiological monitoring, technical analysis, and sports rehabilitation. It helps researchers determine the best fit for their work, distinguishing between purely theoretical research and practice-guided, evidence-based studies for athletic development.

This comprehensive skill guides researchers through the submission process for the Chinese Journal of Management Science. It covers the journal's core academic positioning (operations research, decision analysis, complex systems), required methodological rigor (model setting, algorithms, proofs), structural guidelines, and essential formatting checks. It helps authors assess manuscript fit and identify common rejection risks before official submission.

This skill provides a comprehensive guide for authors targeting top-tier Chinese academic journals, such as the Chinese Review of Financial Studies. It analyzes the journal's specific academic scope (finance theory, capital markets, etc.), required manuscript structure, submission formatting (abstract length, JEL codes, reference rules), and common pitfalls. Use it pre-submission to ensure your paper meets the high academic standards required for CSSCI-level publication.