Efficient score tests for heteroskedasticity in micro-economics
开发了一种人工回归方法，用于在多种微观计量模型中计算异方差性的有效得分检验统计量，帮助研究者更准确地检测异方差性。
This paper develops an artificial regression that can be employed to obtain efficient score test statistics for heteroskedasticity in the context of a variety of micro-econometric models