Nowcasting Tourist Arrivals to Prague: Google Econometrics

Ayaz Zeynalov

MPRA Paper from University Library of Munich, Germany

Abstract: It is expected that what people are searching for today is predictive of what they have done recently or will do in the near future. This research will analyze the eligibility of Google search data to nowcast tourist arrivals to Prague. The present research will report whether Google data is potentially useful in nowcasting or short-term forecasting using by Support Vector Regressions (SVRs), which maps data to a higher dimensional space and employs a kernel function.

Keywords: Google trends; nowcasting; tourism forecasting (search for similar items in EconPapers)
JEL-codes: C53 E17 L83 (search for similar items in EconPapers)
Date: 2014
New Economics Papers: this item is included in nep-for, nep-mac and nep-tur
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:60945

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