The empirical process of autoregressive residuals

被引:14
|
作者
Engler, Eric [1 ]
Nielsen, Bent [2 ]
机构
[1] DE Shaw & Co, New York, NY 10016 USA
[2] Univ Oxford Nuffield Coll, Oxford OX1 1NF, England
来源
ECONOMETRICS JOURNAL | 2009年 / 12卷 / 02期
关键词
Autoregression; Empirical process; Kolmogorov-Smirnov test; Probability-probability plots; Quantile-quantile plots; Residuals; WEAK-CONVERGENCE; BARTLETT CORRECTION; DISTRIBUTIONS; TESTS;
D O I
10.1111/j.1368-423X.2009.00282.x
中图分类号
F [经济];
学科分类号
02 ;
摘要
Asymptotic theory is developed for the residual empirical process of autoregressive distributed lag models with an intercept and possibly other deterministic terms. The asymptotic distribution is shown not to depend on the location of characteristic roots. This contrasts to situations without intercept where unit roots give rise to non-standard distributions. This is important in applications, as the question of the innovation distribution can be addressed without knowledge of the characteristic roots.
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页码:367 / 381
页数:15
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