Narrow-band analysis of nonstationary processes

被引:0
|
作者
Robinson, PM [1 ]
Marinucci, D [1 ]
机构
[1] London Sch Econ, London WC2A 2AE, England
来源
ANNALS OF STATISTICS | 2001年 / 29卷 / 04期
关键词
nonstationary processes; long range dependence; least squares estimation; narrow-band estimation; cointegration analysis;
D O I
暂无
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
The behavior of averaged periodograms and cross-periodograms of a broad class of nonstationary processes is studied. The processes include nonstationary ones that are fractional of any order, as well as asymptotically stationary fractional ones. The cross-periodogram can involve two nonstationary processes of possibly different orders, or a nonstationary and an asymptotically stationary one. The averaging takes place either over the whole frequency band, or over one that degenerates slowly to zero frequency as sample size increases. In some cases it is found to make no asymptotic difference, and in particular we indicate how the behavior of the mean and variance changes across the two-dimensional space of integration orders. The results employ only local-to-zero assumptions on the spectra of the underlying weakly stationary sequences. It is shown how the results can be applied in fractional cointegration with unknown integration orders.
引用
收藏
页码:947 / 986
页数:40
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