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Detecting earnings management: a review of the proxies

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  • Stavroula Kourdoumpalou

Abstract

Earnings management research is of interest not only to academics, but also to practitioners and regulators. A major strand of the relevant literature examines the divergent reporting incentives that managers face when reporting for tax and for financial accounting purposes. In case of conforming earnings management, firms that prefer tax aggressiveness also lower their financial accounting income, whereas firms that are aggressive in financial reporting also inflate taxable income. However, there is significant evidence that firms also take advantage of the opportunity provided by the dual reporting system (i.e., preparation of distinct reports) and simultaneously manipulate both accounting and taxable earnings (i.e., non-conforming earnings management). As the extent of earnings manipulation cannot be measured directly, a number of proxies have been developed in the literature relying on publicly available data. For the purposes of the present review, the most commonly used ones are classified into three groups: accrual models, effective tax rates and book-tax differences.

Suggested Citation

  • Stavroula Kourdoumpalou, 2017. "Detecting earnings management: a review of the proxies," International Journal of Critical Accounting, Inderscience Enterprises Ltd, vol. 9(2), pages 103-118.
  • Handle: RePEc:ids:ijcrac:v:9:y:2017:i:2:p:103-118
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    Cited by:

    1. Francisco J. Delgado & Elena Fernández-Rodríguez & Roberto García-Fernández & Manuel Landajo & Antonio Martínez-Arias, 2023. "Tax avoidance and earnings management: a neural network approach for the largest European economies," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-25, December.
    2. Amidu, Mohammed & Mohammed Sissy, Aisha & Haruna, Issahaku, 2017. "The effects of cross-border banking and institutional quality on accounting information of banks in Africa," MPRA Paper 101509, University Library of Munich, Germany, revised 15 Sep 2017.
    3. Ioannis Dokas & Christos Leontidis & Nicolaos Eriotis & Konstantinos Hazakis, 2021. "Earnings Management. An overview of the relative literature," Bulletin of Applied Economics, Risk Market Journals, vol. 8(2), pages 25-55.

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