Forecasting in a Small and Unstable Regional Economy Using Regime Shifting Models: The Case of Extremadura

We consider forecasting in a small and unstable regional economy subject to structural breaks. In this context, we work with two types of regime‐shifting databased models using cointegration theory. The objective of the present work is to analyze the out‐of‐sample forecasting performance of the two...

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Published in:Geographical analysis Vol. 35; no. 2; pp. 110 - 132
Main Authors: Márquez, Miguel Angel, Ramajo, Julian, Hewings, Geoffrey J.D
Format: Journal Article
Language:English
Published: Oxford, UK Blackwell Publishing Ltd 01-04-2003
Ohio State University Press
John Wiley & Sons, Inc
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Summary:We consider forecasting in a small and unstable regional economy subject to structural breaks. In this context, we work with two types of regime‐shifting databased models using cointegration theory. The objective of the present work is to analyze the out‐of‐sample forecasting performance of the two approaches used to construct a short‐term regional econometric model: stochastic and deterministic time varying parameters models. The forecasting experiments will be illustrated by specifying, and estimating an econometric model for Extremadura, a small and unstable region in southwestern Spain.
Bibliography:http://dx.doi.org/10.1111/j.1538-4632.2003.tb01104.x
mmarquez@unex.es.
Julian Ramajo is a professor of Applied Economics, Faculty of Economics, University of Extremadura, E‐06071 Badajoz Spain.
ramajo@unex.es.
hewings@uiuc.edu.
Geoffrey J. D. Hewings is a Director of the Regional Economics Applications Laboratory, University of Illinois. E‐mail
Miguel Angel Márquez is a professor of Applied Economics, Faculty of Economics, University of Extremadura, E‐06071 Badajoz Spain and Regional Economics Applications Laboratory, University of Illinois.
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ISSN:0016-7363
1538-4632
DOI:10.1111/j.1538-4632.2003.tb01104.x