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Proceedings of the 4th International Conference on Economics, Management, Law and Education (EMLE 2018)
In order to evaluate the predictive ability of network search data of daily sampling frequency for monthly tourist flow, this paper predicts the monthly tourist flow of Chongqing, China. In consideration of the inconsistency of sampling frequency of network search data and tourist flow data, an autoregression mixed data sampling model (AR-MIDAS) is constructed for prediction to avoid the loss of information. This paper adopts factor analysis technology to extract the characteristic informationdoi:10.2991/emle-18.2018.75 fatcat:xsgnkiv6ezgathllfmen7vpc5y