Amb motiu del tancament d'estiu, la validació de documents es reprendrà a partir del 28 d'agost de 2026. Disculpeu les molèsties.
Con motivo del cierre de verano, la validación de documentos se reanudará a partir del 28 de agosto de 2026. Disculpad las molestias
Due to the summer closure, document validation will resume starting August 28, 2026. We apologize for any inconvenience.

Files

IR15-007_Claveria.pdf (545.04 KB)

Document type

Working paper

Publication date

2015

Publication license

cc-by-nc-nd, (c) Clavería et al., 2015
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/62346

Regional Forecasting with Support Vector Regressions: The Case of Spain

Journal Title

Authors

Director/Tutor

Journal ISSN

Volume Title

Related resource

Abstract

This study attempts to assess the forecasting accuracy of Support Vector Regression (SVR) with regard to other Artificial Intelligence techniques based on statistical learning. We use two different neural networks and three SVR models that differ by the type of kernel used. We focus on international tourism demand to all seventeen regions of Spain. The SVR with a Gaussian kernel shows the best forecasting performance. The best predictions are obtained for longer forecast horizons, which suggest the suitability of machine learning techniques for medium and long term forecasting.

Subject

Anàlisi de regressió, Previsió econòmica, Política turística, Desenvolupament econòmic, Xarxes neuronals (Informàtica), Transmissió de dades

Subject (English)

Regression analysis, Economic forecasting, Politics of tourism, Economic development, Neural networks (Computer science), Data transmission systems

Citation

Collections

Documents de treball (Institut de Recerca en Economia Aplicada Regional i Pública (IREA))
AQR (Grup d’Anàlisi Quantitativa Regional) – Working Papers
Documents de treball / Informes (Econometria, Estadística i Economia Aplicada)

Citation

CLAVERÍA GONZÁLEZ, Óscar, MONTE MORENO, Enric and TORRA PORRAS, Salvador. Regional Forecasting with Support Vector Regressions: The Case of Spain. IREA – Working Papers. 2015. Vol.  IR15/07. ISSN 2014-1254. [consulted: 9 of August of 2026]. Available at: https://hdl.handle.net/2445/62346

Export metadata

JSON - METS

Share record