Google trends forecasting of youth employment
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https://riunet.upv.es/handle/10251/208678
Cita bibliográfica
Bruijn, N.; Wijnhoven, F.; Effing, R. (2024). Google trends forecasting of youth employment. Editorial Universitat Politècnica de València. https://doi.org/10.4995/CARMA2024.2024.17158
Titulación
Resumen
[EN] The forecasting field has been using the surge in big data and advanced computational capabilities. This article discusses the methodological issues of Google Trends (GT) data reliability and forecasting validity for youth unemployment forecasts. We demonstrate the problems with static GT forecasting procedures and show a 44% increase in forecasting accuracy by applying time-varying model respecification forecasting.
Fuente
6th International Conference on Advanced Research Methods and Analytics (CARMA 2024) isbn: 9788413962016
Editorial
Editorial Universitat Politècnica de València
