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Nowcasting Tourist Arrivals to Prague: Google Econometrics

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  • Zeynalov, Ayaz

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.

Suggested Citation

  • Zeynalov, Ayaz, 2014. "Nowcasting Tourist Arrivals to Prague: Google Econometrics," MPRA Paper 60945, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:60945
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    File URL: https://mpra.ub.uni-muenchen.de/60945/1/MPRA_paper_60945.pdf
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    References listed on IDEAS

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    Cited by:

    1. Ana Maria Aguilera & Francesca Fortuna & Manuel Escabias & Tonio Di Battista, 2021. "Assessing Social Interest in Burnout Using Google Trends Data," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 156(2), pages 587-599, August.

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    More about this item

    Keywords

    Google trends; nowcasting; tourism forecasting;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E17 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Forecasting and Simulation: Models and Applications
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

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