Skill UI

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).

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.

This comprehensive router guides users through the complete lifecycle of writing high-quality academic papers, specifically tailored to the standards of top financial and economic journals. It does not replace specialized skills but acts as a systematic workflow manager, helping users identify their current manuscript bottleneck and determining the optimal next step—from initial topic selection and literature review to advanced empirical identification and final rebuttal preparation.

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.

A comprehensive guide for advanced econometric identification strategies, detailing best practices for conducting Difference-in-Differences (DID), event studies, and staggered treatment analysis. It provides stringent requirements for ensuring causal claims are robust and methodologically sound in academic research.

This guide provides rigorous methodology for authors to structure the policy and institutional background section of empirical economic manuscripts. Highlighting the journal's reliance on verifiable details (exact file names, dates, implementation rules), it teaches how to connect policy context directly to quasi-experimental identification strategies (like DID and event-study), ensuring the validity of causal claims and preventing common desk-reject issues.

This guide provides rigorous methodological standards for conducting mechanism analysis (mediation and moderation) in academic economics research. It strongly cautions against the traditional three-step mediation approach due to identification issues, recommending preferred alternatives like split-channel regression and causal moderation analysis to enhance the robustness of causal claims.

A comprehensive methodological guide for conducting exhaustive robustness checks in academic economics manuscripts, particularly for journals requiring high empirical rigor. It provides an exhaustive checklist covering variable replacement, sample window manipulation, advanced identification strategies (like PSM-DID and placebo tests), and crucially, systematically ruling out alternative explanations and confounding factors. Mastering this process is essential for defending research findings against rigorous peer review.

This tool guides researchers in selecting and rigorously stress-testing appropriate methodologies (quantitative, qualitative, or normative) for public administration manuscripts. It ensures methodological alignment with the core research question, providing detailed checks for causal inference techniques (DID, IV, RDD) and qualitative rigor, thereby strengthening the overall academic argument.

A comprehensive preflight checklist designed for researchers submitting manuscripts to academic journals, specifically referencing 'Chinese Public Administration' (CPA). It guides users through critical areas such as format compliance (font, spacing, numbering), ensuring author anonymity and de-identification of qualitative data, proper citation according to National Standards (GB/T 7714), adherence to research ethics (IRB), and the organization of supplementary materials. Use this guide before the final submission to ensure methodological and structural rigor.

Provides a comprehensive framework for defending the methodological rigor of comparative social science research. This skill guides users through establishing comparative leverage, whether in cross-national panel data, case-based comparisons, or natural experiments. It emphasizes techniques like causal inference, process tracing, and ruling out rival theoretical accounts to strengthen the study's claims.