Authors
Concha Artola, Fernando Pinto, Pablo de Pedraza García
Publication date
2015/4/7
Journal
International Journal of Manpower
Volume
36
Issue
1
Pages
103-116
Publisher
Emerald Group Publishing Limited
Description
Purpose
– The purpose of this paper is to improve the forecast of tourism inflows into Spain by use of Google – indices on internet searches measuring the relative popularity of keywords associated with travelling to Spain.
Design/methodology/approach
– Two models are estimated for each of the three countries with the largest tourist flows into Spain (Germany, UK and France): a conventional model, the best ARIMA model estimated by TRAMO (model 0) and a model augmented with the Google-index relating to searches made from each country (model 1). The overall performance of both models is compared.
Findings
– The improvement in forecasting provided by the short-term models that include the G-indicator is quite substantial up to 2012, reducing out of sample mean square errors by 42 per cent, although their performance …
Total citations
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Scholar articles
C Artola, F Pinto, P de Pedraza García - International Journal of Manpower, 2015