Skill UI

A comprehensive guide for authors writing empirical papers (especially in finance/economics). It teaches the critical skill of separating load-bearing claims (must be in the main text) from exhaustive supporting evidence (best placed in the Internet Appendix). It details how to build a fully reproducible package, including data lineage, codebooks, and documenting proprietary data access paths.

This guide details the optimal structure for writing a high-quality literature review, especially for quantitative economics journals. It advises users to avoid chronological descriptions and instead organize the review around the core method lineage (how a quantity is measured, forecasted, or decomposed) and the specific application gap in China's data context. This ensures the literature review logically and powerfully leads to the paper's unique contribution.

This guide provides a highly structured framework for writing literature reviews for top international economics journals. It emphasizes moving beyond merely listing localized findings, focusing instead on establishing a clear dialogue with global academic classics, frontier research (e.g., GVC, global finance), and defining the paper's unique marginal contribution within the international academic lineage.

This skill guides researchers on how to structurally position a Marketing Science manuscript within its academic literature. It requires defining the model's baseline (modeling lineage) and the specific business problem it addresses (substantive stream). Crucially, it teaches how to frame the contribution as a concrete field gain rather than merely pointing out an existing knowledge gap.