Selection bias and the Big Four premium: New evidence using Heckman and matching models
Mark Clatworthy (),
Gerald Makepeace and
Michael Peel
Accounting and Business Research, 2009, vol. 39, issue 2, 139-166
Abstract:
Many prior studies have found that large auditors charge significantly higher fees for statutory audit services, potentially resulting from higher audit quality and/or a lack of competition in the audit market. However, recent research using a Heckman two‐step procedure attributes the large auditor premium to auditor selection bias. In this paper we examine the limitations of the Heckman model and estimate the large auditor (Big Four) premium using decomposition and matching methods on a large sample of UK private companies. Our analysis suggests that Heckman two‐step estimates are highly sensitive to changes in sample and model specification, particularly the presence of a valid identifying variable. In contrast, the propensity score and portfolio matching methods we employ point to a persistent large auditor premium, consistent with the majority of previous studies. Conclusions of the premium vanishing when selection bias is controlled for therefore appear premature. Since the Heckman model is increasingly used in auditing and other areas of accounting research, our discussion and findings are likely to be of more general interest.
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)
Downloads: (external link)
http://hdl.handle.net/10.1080/00014788.2009.9663354 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:acctbr:v:39:y:2009:i:2:p:139-166
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RABR20
DOI: 10.1080/00014788.2009.9663354
Access Statistics for this article
Accounting and Business Research is currently edited by Vivien Beattie
More articles in Accounting and Business Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().