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. 2023 Apr 3;98:104759. doi: 10.1016/j.tourman.2023.104759

Table 4.

Summary of selected studies of MIDAS regressions.

Research object Author (Year) Dependent variable data frequency Independent variable data frequency Analysis methods
Gross domestic product Pan, Wang, Wang, and Yang (2018) Quarterly GDP Monthly crude oil prices TVP
Tourism demand Bangwayo-Skeete and Skeete (2015) Monthly tourist arrivals Weekly Google search data AR
Gunter, Önder, and Gindl (2018) Monthly tourist arrivals Daily LIKES and monthly Google trends data ADL
Hirashima, Jones, Bonham, and Fuleky (2017) Quarterly tourist arrivals and quarterly labor income Monthly tourist arrivals; monthly passenger counts; monthly airline passenger seats outlook; monthly consumer price index; monthly accommodation; food services jobs; and monthly tourist days ADL
Wen, Liu, Song and Liu (2021) Monthly tourist arrivals Daily Baidu search data SARIMA
Hu et al. (2022) Monthly tourist arrivals Weekly online review volume and average review rating SARIMA
Liu et al., 2021a, Liu et al., 2021b Monthly visitor arrivals Daily Baidu index, monthly visitor arrival data and macroeconomic variables LASSO
Wu, Hu and Chen (2022) Monthly hotel occupancy rates Daily visitor arrivals and search query data, monthly historical hotel occupancy rates U-MIDAS, MIDAS-Almon
Oil future volatility Mei, Ma, Liao, and Wang (2020) 5min oil futures price volatility Daily geopolitical risk index RV
Crude oil prices Zhang and Wang (2019) Monthly WTI and Brent crude oil spot prices Daily stock market indices ADL

Notes: Realised volatility (RV); Generalised autoregressive conditional heteroscedastic (GARCH); Simple MIDAS models by using an unweighted polynomial function (U-MIDAS).