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Visitor arrivals forecasts amid COVID-19: A perspective from the Africa team

Citations

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Cited by:

  1. Kourentzes, Nikolaos & Saayman, Andrea & Provenzano, Davide & Seetaram, Neelu, 2026. "Forecasting China's outbound travel recovery post-COVID-19," Annals of Tourism Research, Elsevier, vol. 118(C).
  2. repec:hal:journl:hal-03501722 is not listed on IDEAS
  3. Xi Wu & Adam Blake, 2023. "Does the combination of models with different explanatory variables improve tourism demand forecasting performance?," Tourism Economics, , vol. 29(8), pages 2032-2056, December.
  4. Pritularga, Kandrika F. & Svetunkov, Ivan & Kourentzes, Nikolaos, 2021. "Stochastic coherency in forecast reconciliation," International Journal of Production Economics, Elsevier, vol. 240(C).
  5. Trinh, Vu Quang & Seetaram, Neelu, 2022. "Top-management compensation and survival likelihood: the case of tourism and leisure firms in the US," Annals of Tourism Research, Elsevier, vol. 92(C).
  6. Sagaert, Yves R. & Kourentzes, Nikolaos, 2025. "Inventory management with leading indicator augmented hierarchical forecasts," Omega, Elsevier, vol. 136(C).
  7. Song, Haiyan & Li, Gang & Wu, Doris Chenguang, 2026. "A review of the second tourism forecasting competition for post-pandemic recovery," Annals of Tourism Research, Elsevier, vol. 119(C).
  8. Ulrich Gunter & Bozana Zekan & Francesco Luigi Milone, 2025. "Modelling and forecasting European Airbnb occupancy during the pandemic: The specific merits of panel-data and Markov-switching models," Tourism Economics, , vol. 31(4), pages 695-713, June.
  9. Li, Feng & Ruan, Taozhu, 2026. "Recovery-informed forecasting strategy enhancement," Annals of Tourism Research, Elsevier, vol. 118(C).
  10. Yang, Yang & Fan, Yawen & Jiang, Lan & Liu, Xiaohui, 2022. "Search query and tourism forecasting during the pandemic: When and where can digital footprints be helpful as predictors?," Annals of Tourism Research, Elsevier, vol. 93(C).
  11. Li, Hengyun & Guo, Honggang & Wang, Jianzhou & Wang, Yong & Wu, Chunying, 2025. "Tourism combination forecasting with swarm intelligence," Annals of Tourism Research, Elsevier, vol. 111(C).
  12. Marcus Roller, 2022. "Pre-Crisis Determinants of Tourism Resilience," Diskussionsschriften credresearchpaper39, Universitaet Bern, Departement Volkswirtschaft - CRED.
  13. Athanasopoulos, George & Hyndman, Rob J. & Kourentzes, Nikolaos & Panagiotelis, Anastasios, 2024. "Forecast reconciliation: A review," International Journal of Forecasting, Elsevier, vol. 40(2), pages 430-456.
  14. Xi Wu & Adam Blake, 2023. "The Impact of the COVID-19 Crisis on Air Travel Demand: Some Evidence From China," SAGE Open, , vol. 13(1), pages 21582440231, January.
  15. Hanyuan Zhang & Jiangping Lu, 2022. "Forecasting hotel room demand amid COVID-19," Tourism Economics, , vol. 28(1), pages 200-221, February.
  16. Li, Cheng & Zheng, Weimin & Ge, Peng, 2022. "Tourism demand forecasting with spatiotemporal features," Annals of Tourism Research, Elsevier, vol. 94(C).
  17. Cindy Yoonjoung Heo & Luciano Viverit & Luís Nobre Pereira, 2024. "Does historical data still matter for demand forecasting in uncertain and turbulent times? An extension of the additive pickup time series method for SME hotels," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 23(1), pages 39-43, February.
  18. Athanasopoulos, George & Kourentzes, Nikolaos, 2023. "On the evaluation of hierarchical forecasts," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1502-1511.
  19. Tan, Zhi Qin & Li, Yunpeng, 2026. "Post-pandemic tourism forecasting with ensemble RNN," Annals of Tourism Research, Elsevier, vol. 116(C).
  20. Manuel González-Gómez, 2022. "European outbound tourism expansion on the islands of Cape Verde," Tourism Economics, , vol. 28(4), pages 1129-1150, June.
  21. Zhang, Yishuo & Song, Baobao & Li, Xin & Law, Rob & Li, Gang, 2026. "Imputation recovery tourism demand forecasting," Annals of Tourism Research, Elsevier, vol. 118(C).
  22. Ulrich Gunter, 2021. "Improving Hotel Room Demand Forecasts for Vienna across Hotel Classes and Forecast Horizons: Single Models and Combination Techniques Based on Encompassing Tests," Forecasting, MDPI, vol. 3(4), pages 1-36, November.
  23. Liu, Ying & Wen, Long & Liu, Han & Song, Haiyan, 2024. "Predicting tourism recovery from COVID-19: A time-varying perspective," Economic Modelling, Elsevier, vol. 135(C).
  24. Davide Provenzano & Serena Volo, 2022. "Tourism recovery amid COVID-19: The case of Lombardy, Italy," Tourism Economics, , vol. 28(1), pages 110-130, February.
  25. Zhang, Hanyuan & Liu, Ying & Liu, Xinyang & Liu, Anyu & Lin, Vera Shanshan, 2026. "Forecasting Chinese outbound tourism recovery: A Triple-layer forecast combination framework," Annals of Tourism Research, Elsevier, vol. 116(C).
  26. Martin Henseler & Helene Maisonnave & Asiya Maskaeva, 2022. "Economic impacts of COVID-19 on the tourism sector in Tanzania," Post-Print hal-03663356, HAL.
  27. George Athanasopoulos & Nikolaos Kourentzes, 2021. "On the Evaluation of Hierarchical Forecasts," Monash Econometrics and Business Statistics Working Papers 10/21, Monash University, Department of Econometrics and Business Statistics.
  28. Li, Hengyun & Gao, Huicai & Song, Haiyan, 2023. "Tourism forecasting with granular sentiment analysis," Annals of Tourism Research, Elsevier, vol. 103(C).
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