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审计研究的计算机化

Computerizing Audit Studies.

作者信息

Lahey Joanna N, Beasley Ryan A

机构信息

Assistant Professor, The Bush School of Government, Texas A&M University.

Assistant Professor, Department of Engineering Technology and Industrial Distribution, Texas A&M University.

出版信息

J Econ Behav Organ. 2009 Jun 1;70(3):508-514. doi: 10.1016/j.jebo.2008.02.009.

Abstract

This paper briefly discusses the history, benefits, and shortcomings of traditional audit field experiments to study market discrimination. Specifically it identifies template bias and experimenter bias as major concerns in the traditional audit method, and demonstrates through an empirical example that computerization of a resume or correspondence audit can efficiently increase sample size and greatly mitigate these concerns. Finally, it presents a useful meta-tool that future researchers can use to create their own resume audits.

摘要

本文简要讨论了用于研究市场歧视的传统审计实地实验的历史、优点和缺点。具体而言,它指出模板偏差和实验者偏差是传统审计方法中的主要问题,并通过一个实证例子表明,简历或信件审计的计算机化可以有效地增加样本量,并大大减轻这些问题。最后,它提出了一种有用的元工具,供未来的研究人员用于创建自己的简历审计。

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