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Earnings Management? The Shapes of the Frequency Distributions of Earnings Metrics Are Not Evidence Ipso Facto

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  • CINDY DURTSCHI
  • PETER EASTON

Abstract

We provide evidence that the shapes (particularly around zero) of the frequency distributions of earnings metrics examined in the extant earnings management literature are affected by (1) deflation (using, for example, price or market capitalization), (2) sample selection criteria that lead to differential inclusion/exclusion of observations to the left of zero versus observations to the right of zero (implicit in studies focusing on firms followed by I/B/E/S and explicit in studies partitioning on a variable differing between loss observations and profit observations), (3) differences between the characteristics of observations to the left of zero and observations to the right of zero (such as market pricing and analyst optimism/pessimism), or (4) a combination of these factors. Since the shapes of the frequency distributions of earnings metrics at zero are likely due to one of the above effects, we conclude that the shapes cannot be used as ipso facto evidence of earnings management.

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  • Cindy Durtschi & Peter Easton, 2005. "Earnings Management? The Shapes of the Frequency Distributions of Earnings Metrics Are Not Evidence Ipso Facto," Journal of Accounting Research, Wiley Blackwell, vol. 43(4), pages 557-592, September.
    • Handle: RePEc:bla:joares:v:43:y:2005:i:4:p:557-592
    DOI: 10.1111/j.1475-679X.2005.00182.x
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    1. 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.
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    4. David Holland & Alan Ramsay, 2003. "Do Australian companies manage earnings to meet simple earnings benchmarks?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 43(1), pages 41-62, March.
    5. Burgstahler, David & Dichev, Ilia, 1997. "Earnings management to avoid earnings decreases and losses," Journal of Accounting and Economics, Elsevier, vol. 24(1), pages 99-126, December.
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