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Sales and Net Income Observations by Country Number of Observations from 1995-1999

Sales and Net Income Observations by Country Number of Observations from 1995-1999

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Using a sample of approximately 87,000 earnings observations from almost 22,000 firms in 18 countries for the five-year period 1995-1999, we document firms' tendency to exercise cosmetic earnings management (CEM) worldwide. Following prior studies in the area (Thomas, 1989, among others), we define CEM by small upward rounding of reported net incom...

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Context 1
... the distribution statistics in Table 2 shows an inverse relationship between sample size and average firm size across the countries; in countries where the sample size is relatively small (like Italy, Spain, and Switzerland) the firms are, on average, larger than in countries with large sample sizes (like the U.S., Japan, the U.K., and Germany). 16 We summarize net sales and net income observations by country in Table 3. Since we have 21,662 firms in our sample, the theoretical number of observations from the five-year period 1995- 1999 ...
Context 2
... result is in line with our overall expectation concerning the role of institutional settings as a determinant of firms' tendencies toward small upward rounding in reported earnings numbers. 24 The high value of CEM3 for Finland (7.72 percent) is obviously an outcome of the small sample size of negative net income observations for this country (see Table 3). 25 The primary reason for not estimating multiple regressions between the CEM measures and institutional factors is the relatively small sample size (18 countries) which, given the number of independent variables (ten factors), does not leave enough degrees of freedom for parameter estimation. ...

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Citations

... This was detected first for firms in New Zealand where the frequency of zeros and nines as second digit of reported earnings was respectively more and less than could be expected from Benford's law [34]. Subsequently this unethical phenomenon has been reported to be the practice of the day for the firms worldwide [35]. A recent example of corporate data manipulation, on a truly global scale, is the 2011 LIBOR scandal in which a cartel of banks distorted the interest pricing process of the inter-bank loans [36]. ...
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