On the Durbin-Watson statistic based on a Z-test in large samples

被引:5
|
作者
Lee, Mei-Yu [1 ]
机构
[1] Yuanpei Univ, Dept Appl Finance, 306 Yuanpei Str, Hsinchu 30015, Taiwan
关键词
the law of large numbers; CLT; central limit theorem; Z-test; Durbin-Watson test; Durbin-Watson statistic;
D O I
10.1504/IJCEE.2016.073370
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper formulates the Z-test of the Durbin-Watson (DW) statistic by the true sampling distribution of the DW statistic under the null hypothesis of no serial correlation. Two important results are determined. First, the variance of the DW statistic is convexly related to the degree of freedom, T - k - 1. Thus, the degree of freedom determines the Z-test formula of the DW test. Secondly, the law of large numbers induces the sampling distribution of the DW statistic to converge to a normal distribution.
引用
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页码:114 / 121
页数:8
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