Testing for r versus r−1 cointegrating vectors

Testing for r versus r−1 cointegrating vectors
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测试 r 与 r−1 协整向量

DOI:
10.1016/s0304-4076(98)00029-3
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发表时间:
1999
影响因子:
6.3
通讯作者:
Andy Snell
Andy Snell
中科院分区:
经济学2区
文献类型:
--
作者:
Andy Snell

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r与r−1协整向量的参数检验。该测试利用了这样一个事实,即在n个I(1)变量的系统中,第r个主成分在零下是I(0),但在替代方案下是I(1)。该统计量是参数化的,使用应用于主成分的简单回归方法构建,遵循标准χ 2分布,并且不需要对协整向量进行归一化限制。Monte Carlo研究表明,通过嵌套显著性检验选择预白化过程中的滞后长度,该检验在小样本下具有良好的大小和功效特性。
A parametric test for r versus r−1 cointegrating vectors is developed. The test exploits the fact that in a system of n I(1) variates the rth principal component is I(0) under the null but I(1) under the alternative. The statistic is parametric, is constructed using simple regression methods applied to principal components, follows a standard χ2distribution and does not require normalisation restrictions on the cointegrating vectors. A Monte Carlo investigation indicates that providing the lag length in the pre-whitening procedure is chosen by means of nested significance tests, the test has good size and power properties in small samples.