审计
质量审核
协变量
质量(理念)
倾向得分匹配
大数据
会计
业务
匹配(统计)
心理学
计算机科学
计量经济学
统计
经济
数学
数据挖掘
认识论
哲学
作者
Mark L. DeFond,David H. Erkens,Jieying Zhang
出处
期刊:Management Science
[Institute for Operations Research and the Management Sciences]
日期:2016-09-07
卷期号:63 (11): 3628-3649
被引量:412
标识
DOI:10.1287/mnsc.2016.2528
摘要
A large auditing literature concludes that Big N auditors provide higher audit quality than non-Big N auditors. Recently, however, a high-profile study suggests that propensity score matching (PSM) on client characteristics eliminates the Big N effect [Lawrence A, Minutti-Meza M, Zhang P (2011) Can Big 4 versus non-Big 4 differences in audit-quality proxies be attributed to client characteristics? Accounting Rev. 86(1):259–286]. We conjecture that this finding may be affected by PSM’s sensitivity to its design choices and/or by the validity of the audit quality measures used in the analysis. To investigate, we examine random combinations of PSM design choices that achieve covariate balance, and four commonly used audit quality measures. We find that the majority of these design choices support a Big N effect for most of the audit quality measures. Overall, our findings show that it is premature to suggest that PSM eliminates the Big N effect. This paper was accepted by Suraj Srinivasan, accounting.
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