Skill UI

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 helps academics determine if their manuscript aligns with the scope of China Industrial Economics, or if it should be redirected to more specialized journals (e.g., Economic Research, Management World). It provides criteria based on empirical rigor, policy quasi-experiments, and specific research focus (industry, enterprise, environment).

This guide outlines rigorous standards for conducting heterogeneity analysis in economic research. It stresses that heterogeneity should not merely involve slicing data by region or size, but must be theoretically driven, linking multiple dimensions (e.g., ownership, financing constraints, industry type) to core economic mechanisms. The analysis must demonstrate significant group differences and clearly connect findings to differential policy implications, elevating the discussion from mere observation to actionable policy science.

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 standards for crafting academic literature reviews, particularly for specialized journals in economics. It instructs authors to move beyond simple citation listing and instead structure the review around identified research gaps. The required structure emphasizes a clear progression from 'Current Status' to 'Deficiencies' and finally to 'Novel Positioning,' ensuring the paper's marginal contribution is clearly derived from a knowledge gap.

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.

This guide provides rigorous criteria for formulating policy implications in academic manuscripts, particularly in industrial economics. It enforces the transition from vague, conceptual suggestions to highly actionable recommendations. Key elements require identifying the specific *agent* (who), the *implementation node* (where), the *concrete action* (what), and the *direct evidence* derived from the paper's findings or heterogeneity. It helps authors structure arguments to ensure theory genuinely guides practice.

A comprehensive guide for authors submitting to high-level academic journals, specifically detailing how to construct a point-by-point rebuttal letter after receiving R&R (Revision & Resubmission) feedback. Covers advanced econometric topics, identifying common reviewer critiques (e.g., parallel trends, robustness checks, endogeneity), and structuring professional, evidence-based revisions.

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 provides a comprehensive pre-submission checklist tailored for submitting manuscripts to high-tier academic journals. It verifies adherence to complex guidelines, covering manuscript length, abstract structure, citation formats (footnotes and real references), data reproducibility requirements, and double-blind anonymity protocols. It helps authors catch technical errors and formatting inconsistencies before official submission.

A comprehensive guide for finalizing empirical tables and figures for high-level academic journals. It mandates moving beyond mere statistical significance by requiring deep economic interpretation (magnitude analysis). Covers three-line table conventions, proper event-study plot construction (CI and time markers), and precise variable sourcing (formula and database name) to ensure publication readiness.

A comprehensive guide for researchers on developing robust and original economic topics, particularly within the context of Chinese industrial economics. It emphasizes structuring research around clean policy quasi-experiments, quantifiable empirical facts, and defining 3-5 distinct marginal contributions to ensure scholarly depth and avoid common pitfalls.