Google trends forecasting of youth employment

Handle

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

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