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Confirmation, Correction and Improvement for Outlier Validation Using Dummy Variables: t-Statistics or F-Incremental Statistics is not enough in OLS
Kiraci, Arzdar - In: International Econometric Review (IER) 5 (2013) 2, pp. 43-52
Dummy variables can be used to detect, validate and measure the impact of outliers in data. This paper uses a model to evaluate the effectiveness of dummy variables in detecting outliers. While generally confirming some findings in the literature, the model refutes the presumption that the...
Persistent link: https://www.econbiz.de/10012610947
Cover Image
Confirmation, Correction and Improvement for Outlier Validation Using Dummy Variables: t-Statistics or F-Incremental Statistics is not enough in OLS
Kiraci, Arzdar - In: International Econometric Review (IER) 5 (2013) 2, pp. 43-52
Dummy variables can be used to detect, validate and measure the impact of outliers in data. This paper uses a model to evaluate the effectiveness of dummy variables in detecting outliers. While generally confirming some findings in the literature, the model refutes the presumption that the...
Persistent link: https://www.econbiz.de/10010837167