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Forecasting in a Mixed Up World: Nowcasting Hawaii Tourism. (2017). Fuleky, Peter ; Bonham, Carl ; Jones, James ; Hirashima, Ashley .
In: Annals of Tourism Research.
RePEc:eee:anture:v:63:y:2017:i:c:p:191-202.

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  1. Forecasting tourist flows in the COVID‐19 era using nonparametric mixed‐frequency VARs. (2024). Huang, Yuming ; You, Wanhai ; Lee, Chienchiang.
    In: Journal of Forecasting.
    RePEc:wly:jforec:v:43:y:2024:i:2:p:473-489.

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  2. A novel two-stage combination model for tourism demand forecasting. (2024). Ma, Shuai ; Wu, Doris Chenguang ; Yang, Haifeng ; Hu, Mingming.
    In: Tourism Economics.
    RePEc:sae:toueco:v:30:y:2024:i:8:p:1925-1950.

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  3. Measuring tourism demand nowcasting performance using a monotonicity test. (2023). Wang, Yongjing ; Liu, Ying ; Song, Haiyan.
    In: Tourism Economics.
    RePEc:sae:toueco:v:29:y:2023:i:5:p:1302-1327.

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  4. Monitoring and forecasting COVID-19 impacts on hotel occupancy rates with daily visitor arrivals and search queries. (2022). Chen, Rui ; Hu, Jihao.
    In: Current Issues in Tourism.
    RePEc:taf:rcitxx:v:25:y:2022:i:3:p:490-507.

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  5. Tourism water use during the COVID-19 shutdown. (2022). Wada, Christopher ; Fuleky, Peter ; Demaagd, Nathan ; Burnett, Kimberly.
    In: Annals of Tourism Research.
    RePEc:eee:anture:v:97:y:2022:i:c:s0160738322001268.

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  6. Forecasting tourism demand: Developing a general nesting spatiotemporal model. (2021). Jiao, Xiaoying ; Li, Jason.
    In: Annals of Tourism Research.
    RePEc:eee:anture:v:90:y:2021:i:c:s0160738321001559.

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  7. Using social network and semantic analysis to analyze online travel forums and forecast tourism demand. (2021). Guardabascio, Barbara ; Innarella, R ; Colladon, Fronzetti A.
    In: Papers.
    RePEc:arx:papers:2105.07727.

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  8. Tourism forecast combination using the stochastic frontier analysis technique. (2020). Cheng, Xian ; Liao, Stephen Shaoyi ; Wu, JI.
    In: Tourism Economics.
    RePEc:sae:toueco:v:26:y:2020:i:7:p:1086-1107.

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  9. Seasonal and Trend Forecasting of Tourist Arrivals: An Adaptive Multiscale Ensemble Learning Approach. (2020). Wang, Shouyang ; Suna, Shaolong ; Ju-e Guo, ; Bi, Dan.
    In: Papers.
    RePEc:arx:papers:2002.08021.

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  10. Tourism forecasting: A review of methodological developments over the last decade. (2019). Li, Jason ; Jiao, Eden Xiaoying.
    In: Tourism Economics.
    RePEc:sae:toueco:v:25:y:2019:i:3:p:469-492.

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  11. Forecasting tourist arrivals at attractions: Search engine empowered methodologies. (2019). Volchek, Katerina ; Song, Haiyan ; Buhalis, Dimitrios ; Liu, Anyu.
    In: Tourism Economics.
    RePEc:sae:toueco:v:25:y:2019:i:3:p:425-447.

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  12. Spatial-temporal forecasting of tourism demand. (2019). Yang, Yang ; Zhang, Honglei.
    In: Annals of Tourism Research.
    RePEc:eee:anture:v:75:y:2019:i:c:p:106-119.

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  13. The new MIBA model: Real-time nowcasting of French GDP using the Banque de Frances monthly business survey. (2017). Mogliani, Matteo ; Darné, Olivier ; Darne, Olivier ; Pluyaud, Bertrand.
    In: Economic Modelling.
    RePEc:eee:ecmode:v:64:y:2017:i:c:p:26-39.

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References

References cited by this document

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