Does PSM Really Eliminate the Big N Audit Quality Effect?
48 Pages Posted: 27 Jul 2014 Last revised: 10 Mar 2016
Date Written: March 9, 2016
Abstract
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, Minutti-Meza, and Zhang 2011, hereafter, LMZ). 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.
Keywords: Big N auditors, Audit quality, Matching
JEL Classification: M41, C13, C14, C15
Suggested Citation: Suggested Citation