Abstract

Over the past 15 years, there has been tremendous interest in the area of computer-intensive statistical methods. One specific technique whose use has become increasingly widespread is the “bootstrap”. Using the computational power of computers, it is possible to obtain estimates of standard error and bias and to construct confidence intervals for estimators without having to make assumptions about the sample distribution of the estimator. To date, little use of the bootstrap has been made in accounting research primarily because few accounting researchers were aware of its existence. This article provides an intuitive overview of the bootstrap, demonstrates the technique using three examples and provides information regarding the software which is available to implement bootstrapping techniques.

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