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Forecasting Tourist Arrivals: Google Trends Meets Mixed Frequency Data

Citations

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Cited by:

  1. Tihana Škrinjarić, 2019. "Time Varying Spillovers between the Online Search Volume and Stock Returns: Case of CESEE Markets," IJFS, MDPI, vol. 7(4), pages 1-30, October.
  2. Ru-Xin Nie & Chuan Wu & He-Ming Liang, 2024. "Exploring Appropriate Search Engine Data for Interval Tourism Demand Forecasting Responding a Public Crisis in Macao: A Combined Bayesian Model," Sustainability, MDPI, vol. 16(16), pages 1-21, August.
  3. Patrik Kajzar & Radim Dolák & Radmila Krkošková, 2021. "Using Google Trends in International Tourism: A Case Study of the Czech and Slovak Republics," Academica Turistica - Tourism and Innovation Journal, University of Primorska Press, vol. 14(2), pages 205-216.
  4. Marta Crispino & Vincenzo Mariani, 2025. "A Tool to Nowcast Tourist Overnight Stays with Payment Data and Complementary Indicators," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 11(1), pages 285-312, March.
  5. Dina M Hamed, 2026. "Leveraging Non-traditional Data for Macroeconomic Nowcasting: The Case of Morocco," IMF Working Papers 2026/108, International Monetary Fund.
  6. Eduardo Cebrian & Josep Domenech, 2024. "Is it possible for Google Trends to forecast rural tourism? The situation in Spain," Journal of Tourism Management Research, Conscientia Beam, vol. 11(2), pages 302-312.
  7. Tianxiang Zheng & Shaopeng Liu & Zini Chen & Yuhan Qiao & Rob Law, 2020. "Forecasting Daily Room Rates on the Basis of an LSTM Model in Difficult Times of Hong Kong: Evidence from Online Distribution Channels on the Hotel Industry," Sustainability, MDPI, vol. 12(18), pages 1-17, September.
  8. Hatice Öncel Çekim & Ahmet Koyuncu, 2022. "The Impact of Google Trends on the Tourist Arrivals: A Case of Antalya Tourism," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 10(1), pages 1-14, June.
  9. Yi-Chung Hu, 2023. "Tourism combination forecasting using a dynamic weighting strategy with change-point analysis," Current Issues in Tourism, Taylor & Francis Journals, vol. 26(14), pages 2357-2374, July.
  10. Alexander Correa, 2021. "Prediciendo la llegada de turistas a Colombia a partir de los criterios de Google Trends," Revista Lecturas de Economía, Universidad de Antioquia, CIE, issue No. 95, pages 105-134.
  11. Ilsé Botha & Andrea Saayman, 2024. "Does Google Analytics Improve the Prediction of Tourism Demand Recovery?," Forecasting, MDPI, vol. 6(4), pages 1-17, October.
  12. Wanhai You & Yuming Huang & Chien‐Chiang Lee, 2024. "Forecasting tourist flows in the COVID‐19 era using nonparametric mixed‐frequency VARs," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(2), pages 473-489, March.
  13. Konstantinos Vogklis, 2025. "Leveraging spatiotemporal big data for sustainable destination development: an interdisciplinary approach," Information Technology & Tourism, Springer, vol. 27(4), pages 981-1010, December.
  14. Alexander Correa, 2021. "Forecasting Tourist Arrivals to Colombia from Google Trends Search Criteria," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 95, pages 105-134, July-Dece.
  15. Cebrián, Eduardo & Domenech, Josep, 2024. "Addressing Google Trends inconsistencies," Technological Forecasting and Social Change, Elsevier, vol. 202(C).
  16. Ma, Yong & Zhang, Shaofeng & Zhou, Mingtao & Zhou, Xiaozhou, 2026. "Do recession fears help predict stock market volatility? International evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 109(C).
  17. Ahmed Shoukry Rashad, 2022. "The Power of Travel Search Data in Forecasting the Tourism Demand in Dubai," Forecasting, MDPI, vol. 4(3), pages 1-11, July.
  18. Binru Zhang & Nao Li & Rob Law & Heng Liu, 2022. "A hybrid MIDAS approach for forecasting hotel demand using large panels of search data," Tourism Economics, , vol. 28(7), pages 1823-1847, November.
  19. Edmond H. C. Wu & Jihao Hu & Rui Chen, 2022. "Monitoring and forecasting COVID-19 impacts on hotel occupancy rates with daily visitor arrivals and search queries," Current Issues in Tourism, Taylor & Francis Journals, vol. 25(3), pages 490-507, February.
  20. Yi-Chung Hu & Geng Wu & Mei-Ling Wu, 2025. "Generation of ensemble forecasts using functional-link net for decomposition ensemble learning to forecast tourist arrivals," Quality & Quantity: International Journal of Methodology, Springer, vol. 59(5), pages 4159-4184, October.
  21. Woloszko, Nicolas, 2024. "Nowcasting with panels and alternative data: The OECD weekly tracker," International Journal of Forecasting, Elsevier, vol. 40(4), pages 1302-1335.
  22. Poquiz, John Lourenze, 2025. "Measuring the depreciation of intangibles using Search Volume Data," Discussion Papers escoe-dp-2025-02, Economic Statistics Centre of Excellence.
  23. Silva, Emmanuel Sirimal & Hassani, Hossein, 2022. "‘Modelling’ UK tourism demand using fashion retail sales," Annals of Tourism Research, Elsevier, vol. 95(C).
  24. Alan Duncan & Abebe Hailemariam, 2025. "Come and say G’day: Using search engine data to understand the dynamics of tourism demand in Australia," Tourism Economics, , vol. 31(7), pages 1428-1451, November.
  25. Guglielmo Maria Caporale & Luis Alberiko Gil-Alana & Carlos Poza & José L. Ruiz-Alba, 2025. "The COVID-19 Shock and Spanish Hotel Activity," CESifo Working Paper Series 11985, CESifo.
  26. Ivan Stankevich, 2025. "Nowcasting and short-term forecasting of G-20 countries GDP with endogenous regime-switching MIDAS models," Empirical Economics, Springer, vol. 69(3), pages 1383-1410, September.
  27. Ivanka Vasenska, 2025. "Comparative Analysis of Machine Learning and Deep Learning Models for Tourism Demand Forecasting with Economic Indicators," FinTech, MDPI, vol. 4(3), pages 1-22, September.
  28. Juan Manuel García Sánchez & Xavier Vilasís Cardona & Alexandre Lerma Martín, 2022. "Influence of Car Configurator Webpage Data from Automotive Manufacturers on Car Sales by Means of Correlation and Forecasting," Forecasting, MDPI, vol. 4(3), pages 1-20, July.
  29. Jiahui Huang & Chenglong Zhang, 2024. "Daily Tourism Demand Forecasting with the iTransformer Model," Sustainability, MDPI, vol. 16(23), pages 1-22, December.
  30. Abay,Kibrom A. & Hirfrfot,Kibrom Tafere & Woldemichael,Andinet, 2020. "Winners and Losers from COVID-19 : Global Evidence from Google Search," Policy Research Working Paper Series 9268, The World Bank.
  31. Nava, Consuelo R. & Osti, Linda & Zoia, Maria Grazia, 2022. "Forecasting Domestic Tourism across Regional Destinations through MIDAS Regressions," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202207, University of Turin.
  32. Guglielmo Maria Caporale & Luis Alberiko Gil-Alana & Carlos Poza & Jose L. Ruiz-Alba, 2026. "Short-Term Disruptions and Recovery Patterns in Spanish Hotel Activity: Insights from Quantitative and Qualitative Evidence," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 332-355.
  33. Nicolas Woloszko, 2020. "Tracking activity in real time with Google Trends," OECD Economics Department Working Papers 1634, OECD Publishing.
  34. Gang Xie & Xin Li & Yatong Qian & Shouyang Wang, 2021. "Forecasting tourism demand with KPCA-based web search indexes," Tourism Economics, , vol. 27(4), pages 721-743, June.
  35. Bang, Dohyung & Jang, SooCheong (Shawn), 2025. "Reframing carrying capacity: A visitor-oriented approach," Annals of Tourism Research, Elsevier, vol. 115(C).
  36. Abay, Kibrom A. & Ibrahim, Hosam, 2020. "Winners and losers from COVID-19: Evidence from Google search data for Egypt," MENA policy notes 8, International Food Policy Research Institute (IFPRI).
  37. Ke Xu & Junli Zhang & Junhao Huang & Hongbo Tan & Xiuli Jing & Tianxiang Zheng, 2024. "Forecasting Visitor Arrivals at Tourist Attractions: A Time Series Framework with the N-BEATS for Sustainable Tourism," Sustainability, MDPI, vol. 16(18), pages 1-28, September.
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