Detecting outliers and influential observations with heteroscedasticity-corrected models

被引:0
|
作者
Martin, D [1 ]
Kumar, V [1 ]
机构
[1] Davidson Coll, Davidson, NC 28035 USA
关键词
D O I
10.1080/13504850500192994
中图分类号
F [经济];
学科分类号
02 ;
摘要
Heteroscedasticity-correction masks signals from standardized residuals, so analysts should examine the residuals to identify outliers and should use likelihood dispersion to identify influential observations. These points are demonstrated with a model that examines the effect of exchange rate volatility on intra-industry trade.
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页码:745 / 748
页数:4
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