2014
DOI: 10.2139/ssrn.2407967
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Influential Observations and Inference in Accounting Research

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Cited by 73 publications
(76 citation statements)
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“…The procedure simply replaces some of the more extreme observations with less extreme values. Other methods exist, but this method is by far the most popular, and it seems to be applied in a majority of studies (Leone et al 2014). …”
Section: Ts Compared To Ols With Winsorizationmentioning
confidence: 99%
See 1 more Smart Citation
“…The procedure simply replaces some of the more extreme observations with less extreme values. Other methods exist, but this method is by far the most popular, and it seems to be applied in a majority of studies (Leone et al 2014). …”
Section: Ts Compared To Ols With Winsorizationmentioning
confidence: 99%
“…SeeLeone et al (2014) for a discussion of alternative robust estimators.8 However, especially in environmental sciences, there is an extensive list of research that applies TS to estimate trends in pollution, climate change, and rainfall, where the data do not satisfy the assumptions for classical parametric methods (e.g.,Hirsch et al 1982).…”
mentioning
confidence: 99%
“…To cope with the impact of influential observations on the statistical inference, we use robust regression based on MM estimation (Leone et al, 2015) to estimate our models. Table 2 reports the robust regression results of equation (1).…”
Section: Sample and Resultsmentioning
confidence: 99%
“…However, a positive relationship between production and the current period sales change was shown in Roychowdhury (2006). To cope with the impact of influential observations on the statistical inference, we use robust regression based on MM estimation (Leone et al 2015) to estimate our models. The results are qualitatively the same.…”
Section: Sample and Resultsmentioning
confidence: 99%
“…Specifically, the outlier tests include (i) winsorizing (truncating) all variables at the top and bottom 5 percentiles (1 percentiles), rather than 1 percentile winsorization used in Table 3; (ii) removing outliers that are defined as having an absolute studentized residual value greater than two (Belsley, Kuh, and Welsch 1980) or as having Cook's D value greater than four divided by the number of observations (Cook 1977); (iii) removing outliers where DEV_TARGET and REV_TARGET move in the opposite directions as these unusual revision behaviors could represent either measurement errors, such as human errors in data collection procedures, or the results of unusual circumstances affecting a subset of the data; (iv) using different subsamples such as S&P 500 LargeCap, 400 MidCap, and 600 SmallCap; and (v) employing the least absolute deviations (LAD) estimation, a form of robust regression also known as median regression, which has been used by many prior studies as it is believed to be less susceptible to the problem of outliers (Leone, Minutti-Meza, and Wasley 2013;Ortiz-Molina 2007;Chen, Liu, and Ryan 2008;Choi, Kim, Liu, and Simunic 2009;Indjejikian et al 2014a). asymmetry using firm-specific time-series analyses.…”
mentioning
confidence: 99%