A Methodological Guide for Quantitative Analysis of Star Performance in Entrepreneurship
针对创业绩效分布右偏且厚尾的特点，提出一个包含尾部影响、极端性和频率三个特征的框架，并给出方法指南和R代码，帮助研究者分析明星绩效。
Entrepreneurial performance is often right-skewed and heavy-tailed, yet empirical studies typically focus on average outcomes, assuming normality. Recent research addresses this by examining full performance distributions. We extend this work by introducing an intuitive framework with three distinct characteristics of distributional tails: (a) tail impact, the contribution of star performers relative to the rest; (b) tail extremity, the extent by which the highest performer exceeds the typical performer; and (c) tail frequency, the fraction of performers who are stars. We outline a methodological guide, offer illustrative examples, and provide R code to enrich future investigations of star performance in entrepreneurship.