Artikel

Automatic identification of general vector error correction models

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.

Language
Englisch

Bibliographic citation
Journal: Economics: The Open-Access, Open-Assessment E-Journal ; ISSN: 1864-6042 ; Volume: 10 ; Year: 2016 ; Issue: 2016-26 ; Pages: 1-41 ; Kiel: Kiel Institute for the World Economy (IfW)

Classification
Wirtschaft
Econometrics
Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
Model Construction and Estimation
Model Evaluation, Validation, and Selection
Subject
Time series
unit root
cointegration
error correction
model identification
Smith form

Event
Geistige Schöpfung
(who)
Arbués, Ignacio
Ledo, Ramiro
Matilla-García, Mariano
Event
Veröffentlichung
(who)
Kiel Institute for the World Economy (IfW)
(where)
Kiel
(when)
2016

DOI
doi:10.5018/economics-ejournal.ja.2016-26
Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

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Object type

  • Artikel

Associated

  • Arbués, Ignacio
  • Ledo, Ramiro
  • Matilla-García, Mariano
  • Kiel Institute for the World Economy (IfW)

Time of origin

  • 2016

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