Kacer, M orcid.org/0000-0002-3544-0327, Duboisee De Ricquebourg, A orcid.org/0000-0002-5268-2109, Peel, MJ et al. (1 more author) (2024) Audit Market Measures in Audit Pricing Studies: The Issue of Mechanical Correlation. European Accounting Review, 33 (5). pp. 1981-2013. ISSN 0963-8180
Abstract
Mechanical correlation bias is inherent in audit pricing studies when independent variables (X) are derived from firm level audit fees (Y). Such variables are endogenous by construction leading to biased estimates, since (mechanically) X determines Y and Y determines X. After reviewing the extant auditing/accounting literature where mechanical correlation obtains we employ mathematical derivations and simulations to quantify the bias associated with a range of mechanically correlated market competition and industry specialist variables. Since auditor market competition variables are important to regulators and antitrust authorities, we analyze the mechanical correlation issue with regard to an extant study which introduces a novel measure of audit market competition (derived from audit fees). The study provides evidence that smaller incumbent auditors are pressured into offering lower fees when competing against a large local audit firm. However, when the current client’s audit fee is ‘decoupled’ from this new competition measure to mitigate bias, it is statistically insignificant in our multivariate regression analysis. Additionally, we employ auditee sales and total assets to construct proxies for competition variables (which are not mechanically correlated) and find them to be statistically insignificant. We conclude with suggestions of how to address the issue of mechanical correlation in future studies.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 The Author(s). This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0). |
Keywords: | Audit pricing; Competition measures; Endogeneity; Mechanical correlation; Mathematical coupling; Proxyvariables; Simulations |
Dates: |
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Institution: | The University of Leeds |
Depositing User: | Symplectic Publications |
Date Deposited: | 11 May 2023 09:08 |
Last Modified: | 11 Dec 2024 15:48 |
Status: | Published |
Publisher: | Taylor & Francis |
Identification Number: | 10.1080/09638180.2023.2214169 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:199072 |
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