Identifying, estimating and testing restricted cointegrated systems: An overview

被引:22
作者
Boswijk, HP
机构
[1] Univ Amsterdam, Dept Quantitat Econ, NL-1018 WB Amsterdam, Netherlands
[2] Univ Oxford Nuffield Coll, Oxford OX1 1NF, England
基金
英国经济与社会研究理事会;
关键词
identification; error correction models; maximum likelihood; likelihood ratio test; asymptotic mixed normal distribution; money demand;
D O I
10.1111/j.1467-9574.2004.00270.x
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 notion of cointegration has led to a renewed interest in the identification and estimation of structural relations among economic time series. This paper reviews the different approaches that have been put forward in the literature for identifying cointegrating relationships and imposing (possibly over-identifying) restrictions on them. Next, various algorithms to obtain (approximate) maximum likelihood estimates and likelihood ratio statistics are reviewed, with an emphasis on so-called switching algorithms. The implementation of these algorithms is discussed and illustrated using an empirical example.
引用
收藏
页码:440 / 465
页数:26
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