Auditing Models for the Detection of Qualified Audit Opinions in the Uk Public Services Sector

International Journal of Accounting, Auditing and Performance Evaluation, Vol. 3, No. 4, pp. 471-493, 2006

Posted: 27 Jul 2006

See all articles by Chrysovalantis Gaganis

Chrysovalantis Gaganis

University of Crete - Faculty of Social Sciences - Department of Economics

Fotios Pasiouras

GSCM-Montpellier Business School

Abstract

The present paper employs discriminant and logit analysis to develop classification models that could assist auditors during the examination of firms belonging in the public services sector. The sample consists of 228 firms from the Health & Social work and the Education UK sectors, half of which received a qualified audit opinion. To develop the auditing models and examine their classification ability, a 10-fold cross validation is employed. Both sector-specific and general models are developed. The results show that the developed models can discriminate between financial statements that should receive qualified opinions from those that should receive unqualified ones with a satisfactory accuracy. The variables that were found to be the most important ones in all models are the logarithm of total assets, the return on capital employed and whether the auditor was one of the big four or not.

Keywords: Auditing, Public services, Discriminant analysis, Logit Analysis

JEL Classification: M49, M47

Suggested Citation

Gaganis, Chrysovalantis and Pasiouras, Fotios, Auditing Models for the Detection of Qualified Audit Opinions in the Uk Public Services Sector. International Journal of Accounting, Auditing and Performance Evaluation, Vol. 3, No. 4, pp. 471-493, 2006, Available at SSRN: https://ssrn.com/abstract=919400

Chrysovalantis Gaganis (Contact Author)

University of Crete - Faculty of Social Sciences - Department of Economics ( email )

University Campus
Rethymno, Crete, 74100
Greece

HOME PAGE: http://economics.soc.uoc.gr/en/staff/4551/17

Fotios Pasiouras

GSCM-Montpellier Business School ( email )

2300, Avenue des Moulins
Montpellier, 34185
France

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