Empirical researchers often trim observations with small denominator A when they estimate moments of the form E[B/A]. Large trimming is a common practice to mitigate variance, but it incurs large trimming bias. This paper provides a novel method of correcting large trimming bias. If a researcher is willing to assume that the joint distribution between A and B is smooth, then a large trimming bias may be estimated well. With the bias correction, we also develop a valid and robust inference result for E[B/A].

翻译：经验研究人员在估计表E[B/A]的时,往往用小分母A对观测进行精细处理。大裁剪是减少差异的常见做法,但会产生很大的裁剪偏差。本文提供了纠正大裁剪偏差的新方法。如果研究人员愿意假设A和B之间的联合分布是顺利的,那么,就可以对大裁剪偏差作出很好的估计。通过对偏差的纠正,我们还为E[B/A]制定了有效和有力的推论结果。