Publication:
Forecasting travelers in Spain with Google queries

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Camacho-Pacce.pdf(996.61 KB)
Date
2017-10-31
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Authors
Camacho, Maximo ; Pacce, Matias
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Publisher
Sage Journals Home
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Métodos Cuantitativos para la Economía y la Empresa
DOI
https://doi.org/10.1177/1354816617737227
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info:eu-repo/semantics/article
Description
© 2017. This document is made available under the CC-BY-NC 4.0 license http://creativecommons.org/licenses/by-nc /4.0/ This document is the submitted version of a published work that appeared in final form in Tourism Economics.
Abstract
We examine whether Google query trends helps economic agents with predictions about the checking in and overnight stays of travelers in Spain in real time. Using a dynamic factor approach and a real-time database of vintages that reproduces the exact information that was available to a forecaster at each particular point in time, we show that the models including query trends outperform models that exclude these leading indicators. In this way, we aim to contribute to the literature on the link between the Internet and the tourismmarkets.
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Tourism , Big data analysis , Time Series
Citation
Tourism Economics 24(4):. Pags 434-448.
URI
http://hdl.handle.net/10201/137202
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