On the Fisher information matrix of a vector ARMA process
被引:7
|
作者:
Bao, Yong
论文数: 0引用数: 0
h-index: 0
机构:
Purdue Univ, Krannert Sch Management, Dept Econ, W Lafayette, IN 47907 USAPurdue Univ, Krannert Sch Management, Dept Econ, W Lafayette, IN 47907 USA
Bao, Yong
[1
]
Hua, Ying
论文数: 0引用数: 0
h-index: 0
机构:
Univ Int Business & Econ, Sch Informat Technol & Management, Beijing 100029, Peoples R ChinaPurdue Univ, Krannert Sch Management, Dept Econ, W Lafayette, IN 47907 USA
Hua, Ying
[2
]
机构:
[1] Purdue Univ, Krannert Sch Management, Dept Econ, W Lafayette, IN 47907 USA
[2] Univ Int Business & Econ, Sch Informat Technol & Management, Beijing 100029, Peoples R China
Fisher information matrix;
VARMA;
Gaussian maximum likelihood estimator;
TIME-SERIES;
FORMULA;
D O I:
10.1016/j.econlet.2014.01.019
中图分类号:
F [经济];
学科分类号:
02 ;
摘要:
We derive a neat and compact representation of the asymptotic Fisher information matrix of a vector ARMA process. Its inverse can be used immediately as the asymptotic covariance matrix of the Gaussian maximum likelihood estimator. We also provide the robust sandwich covariance estimator when the process is non-Gaussian. (C) 2014 Elsevier B.V. All rights reserved.
机构:
Univ Western Ontario, Dept Stat & Actuarial Sci, London, ON N6A 5B7, CanadaUniv Western Ontario, Dept Stat & Actuarial Sci, London, ON N6A 5B7, Canada