Automatic Identification of General Vector Error Correction Models

被引:0
作者
Arbues, Ignacio [1 ,2 ]
Ledo, Ramiro [3 ,4 ]
Matilla-Garcia, Mariano [5 ]
机构
[1] Minist Ind Energia & Turismo, Madrid, Spain
[2] Inst Complutense Anal Econ, Madrid, Spain
[3] UNED, Madrid, Spain
[4] Univ Complutense Madrid, Fac Ciencias Econ & Empresariales, Dept Econ Aplicada 2, E-28040 Madrid, Spain
[5] UNED, Dept Econ Aplicada Cuantitat, Paseo Senda del Rey 11, Madrid 28040, Spain
来源
ECONOMICS-THE OPEN ACCESS OPEN-ASSESSMENT E-JOURNAL | 2016年 / 10卷
关键词
Time series; unit root; cointegration; error correction; model identification; Smith form; TIME-SERIES; PANEL-DATA; COINTEGRATION; INTEGRATION; REPRESENTATION; TESTS;
D O I
10.5018/economics-ejournal.ja.2016-26
中图分类号
F [经济];
学科分类号
02 ;
摘要
There are a number of econometrics tools to deal with the different types of situations in which cointegration can appear: I(1), I(2), seasonal, polyno- mial, etc. There are also different kinds of Vector Error Correction models related to these situations. The authors propose a unified theoretical and practical framework to deal with many of these situations. To this aim: (i) they introduce a general class of models and (ii) provide an automatic method to identify models, based on estimating the Smith form of an autoregressive model. Their simulations suggest the power of the new proposed methodology. An empirical example illustrates the methodology.
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页数:42
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