Confirmation, Correction and Improvement for Outlier Validation using Dummy Variables
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 t˗stat...
Main Author: | Arzdar Kiraci |
---|---|
Format: | Article |
Language: | English |
Published: |
Econometric Research Association
2013-09-01
|
Series: | International Econometric Review |
Subjects: | |
Online Access: | http://www.era.org.tr/makaleler/30050079.pdf |
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