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Comment mesurer les irrégularités de distribution des résultats publiés ?

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  • Olivier Vidal

    (LIRSA-CRC - LIRSA. Centre de recherche en comptabilité - LIRSA - Laboratoire interdisciplinaire de recherche en sciences de l'action - CNAM - Conservatoire National des Arts et Métiers [CNAM])

Abstract

The study of accounting thresholds requires measuring earnings distribution irregularities. But the measurement methods used in the accounting literature are not stabilized. The paper evaluates the impact of the measurement methods. Eleven different calculation methods are applied, year after year, on a base consisting of French listed companies over 13 years. The results are mitigated. The irregularities are severe enough to be identified by all methods, but their magnitude varies greatly and this may have important implications for comparative studies (evolution in time or space).

Suggested Citation

  • Olivier Vidal, 2011. "Comment mesurer les irrégularités de distribution des résultats publiés ?," Post-Print hal-00594840, HAL.
    • Handle: RePEc:hal:journl:hal-00594840
    Note: View the original document on HAL open archive server: https://hal.science/hal-00594840
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    References listed on IDEAS

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    1. Yaping Wang & Shaw Chen & Bing-Xuan Lin & Liansheng Wu, 2008. "The frequency and magnitude of earnings management in China," Applied Economics, Taylor & Francis Journals, vol. 40(24), pages 3213-3225.
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    7. Olivier Vidal, 2010. "Gestion du résultat pour évite de publier une perte : les montants manipulés sont-ils marginaux ?," Post-Print hal-00840910, HAL.
    8. Degeorge, Francois & Patel, Jayendu & Zeckhauser, Richard, 1999. "Earnings Management to Exceed Thresholds," The Journal of Business, University of Chicago Press, vol. 72(1), pages 1-33, January.
    Full references (including those not matched with items on IDEAS)

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