Forecasting tourism demand with an improved mixed data sampling model

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Forecasting tourism demand with an improved mixed data sampling model

Search query data reflect users’ intentions, preferences and interests. The interest in using such data to forecast tourism demand has increased in recent years. The mixed data sampling (MIDAS) method is often used in such forecasting, but is not effective when moving average (MA) dynamics are invol...

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Bibliographic Details
Main Authors:	Wen, Long, Liu, Chang, Song, Haiyan, Liu, Han
Format:	Article
Language:	English
Published:	2020
Subjects:	Tourism demand forecasting; MIDAS; Search query data; Generalised dynamic factor model; Nowcasts
Online Access:	https://eprints.nottingham.ac.uk/60293/

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