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Forecasting the sectoral GVA of a small Spanish region

Lampis, Federico (2016) Forecasting the sectoral GVA of a small Spanish region. Economics and Business Letters, 5 (2). pp. 38-44. ISSN 2254-4380. (doi:10.17811/ebl.5.2.2016.38-44) (KAR id:75257)

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Abstract

Our main goal in this paper is to evaluate the point forecasting accuracy of several time series econometric models when applied to a small Spanish region. The variable of interest is the sectoral GVA of the Basque Country. The results support the use of causal models, which outperform univariate models, such as ARMA and SETAR, in forecasting accuracy. The use of a causal model, such as a simple Dynamic Regression model, offers a systematic advantage in the case of a small regional economy for which abundant regional statistical information is available.

Item Type: Article
DOI/Identification number: 10.17811/ebl.5.2.2016.38-44
Uncontrolled keywords: forecast accuracy; time series models; regional models
Divisions: Divisions > Division of Human and Social Sciences > School of Economics
Depositing User: Federico Lampis
Date Deposited: 08 Jul 2019 12:07 UTC
Last Modified: 16 Feb 2021 14:05 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/75257 (The current URI for this page, for reference purposes)
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