Economic crises and market performance—A machine learning approach

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Title: Economic crises and market performance—A machine learning approach
Authors: Perles Ribes, José Francisco | Ramón-Rodríguez, Ana B. | Moreno-Izquierdo, Luis | Sevilla-Jiménez, Martín
Research Group/s: Economía del Turismo, Recursos Naturales y Nuevas Tecnologías (INNATUR) | Internacionalización de la Empresa y Comercio Exterior | Recursos Hídricos y Desarrollo Sostenible
Center, Department or Service: Universidad de Alicante. Departamento de Análisis Económico Aplicado
Keywords: Machine learning | Market performance | Regression trees | Spain
Knowledge Area: Economía Aplicada
Issue Date: 2017
Publisher: SAGE Publications
Citation: Tourism Economics. 2017, 23(3): 692-696. doi:10.5367/te.2015.0536
Abstract: This note analyzes the relationship between economic crises and tourism performance in Spain during the period 1970–2013 using machine learning techniques. Specifically, a regression tree is estimated to confirm that, although the dynamics of Spanish tourism performance is influenced by the general variables established by the literature, the crisis periods disrupt the natural functioning of these dynamics, provoking disturbances that affect the tourism market position of destinations to a greater extent than expected. Conversely, to other econometric techniques, machine learning approach allows us to achieve greater flexibility and enriches the information, estimating the interrelations and thresholds operating in this context.
ISSN: 1354-8166 (Print) | 2044-0375 (Online)
DOI: 10.5367/te.2015.0536
Language: eng
Type: info:eu-repo/semantics/article
Rights: © The Author(s) 2016
Peer Review: si
Publisher version:
Appears in Collections:INV - Recursos Hídricos y Desarrollo Sostenible - Artículos de Revistas
INV - INNATUR - Artículos de Revistas
INV - Internacionalización de la Empresa y Comercio Exterior - Artículos de Revistas

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