Journal Article

No. 2016-26 | October 31, 2016
Automatic Identification of General Vector Error Correction Models PDF Icon
(Published in Special Issue Recent Developments in Applied Economics)

Abstract

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.

Data Set

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The data set for this article can be found at: http://dx.doi.org/10.7910/DVN/JJMCTA

JEL Classification

C01 C22 C32 C51 C52

Citation

Ignacio Arbués, Ramiro Ledo, and Mariano Matilla-García (2016). Automatic Identification of General Vector Error Correction Models. Economics: The Open-Access, Open-Assessment E-Journal, 10 (2016-26): 1—41. http://dx.doi.org/10.5018/economics-ejournal.ja.2016-26

Assessment

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