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Univariate versus multivariate time series forecasting: an application to international tourism demand

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Cited by:

  1. Nyoni, Thabani, 2019. "Addressing the population question in Mexico: A Box-Jenkins ARIMA approach," MPRA Paper 92440, University Library of Munich, Germany.
  2. Huanyin Su & Shanglin Mo & Shuting Peng, 2023. "Short-Term Prediction of Time-Varying Passenger Flow for Intercity High-Speed Railways: A Neural Network Model Based on Multi-Source Data," Mathematics, MDPI, vol. 11(16), pages 1-16, August.
  3. Nyoni, Thabani, 2019. "Forecasting total population in Yemen using Box-Jenkins ARIMA models," MPRA Paper 92433, University Library of Munich, Germany.
  4. George Athanasopoulos & Ashton de Silva, 2010. "Multivariate exponential smoothing for forecasting tourist arrivals to Australia and New Zealand," Monash Econometrics and Business Statistics Working Papers 11/09, Monash University, Department of Econometrics and Business Statistics.
  5. John Trevor Coshall, 2005. "A Selection Strategy for Modelling UK Tourism Flows by Air to European Destinations," Tourism Economics, , vol. 11(2), pages 141-158, June.
  6. Peng, Bo & Song, Haiyan & Crouch, Geoffrey I., 2014. "A meta-analysis of international tourism demand forecasting and implications for practice," Tourism Management, Elsevier, vol. 45(C), pages 181-193.
  7. Bi, Jian-Wu & Liu, Yang & Li, Hui, 2020. "Daily tourism volume forecasting for tourist attractions," Annals of Tourism Research, Elsevier, vol. 83(C).
  8. Ling Tang & Chengyuan Zhang & Tingfei Li & Ling Li, 2021. "A novel BEMD-based method for forecasting tourist volume with search engine data," Tourism Economics, , vol. 27(5), pages 1015-1038, August.
  9. Chia-Lin Chang & Thanchanok Khamkaew & Roengchai Tansuchat & Michael McAleer, 2011. "Interdependence of International Tourism Demand and Volatility in Leading ASEAN Destinations," Tourism Economics, , vol. 17(3), pages 481-507, June.
  10. C. Petropoulos & K. Nikolopoulos & A. Patelis & V. Assimakopoulos & D. Askounis, 2006. "Tourism Technical Analysis System," Tourism Economics, , vol. 12(4), pages 543-563, December.
  11. Nyoni, Thabani, 2019. "A Box-Jenkins ARIMA approach to the population question in Pakistan: A reliable prognosis," MPRA Paper 92434, University Library of Munich, Germany.
  12. Nyoni, Thabani, 2019. "Is Nigeria's economy progressing or backsliding? Implications from ARIMA models," MPRA Paper 91396, University Library of Munich, Germany.
  13. Muhammad Fahim & Alberto Sillitti, 2019. "Analyzing Load Profiles of Energy Consumption to Infer Household Characteristics Using Smart Meters," Energies, MDPI, vol. 12(5), pages 1-15, February.
  14. Nyoni, Thabani & Mutongi, Chipo, 2019. "Modeling and forecasting carbon dioxide emissions in China using Autoregressive Integrated Moving Average (ARIMA) models," MPRA Paper 93984, University Library of Munich, Germany.
  15. Nyoni, Thabani, 2019. "Modeling and forecasting population in Bangladesh: a Box-Jenkins ARIMA approach," MPRA Paper 91394, University Library of Munich, Germany.
  16. Rivera, Roberto, 2016. "A dynamic linear model to forecast hotel registrations in Puerto Rico using Google Trends data," Tourism Management, Elsevier, vol. 57(C), pages 12-20.
  17. Andrea Saayman & Ilsé Botha, 2017. "Non-linear models for tourism demand forecasting," Tourism Economics, , vol. 23(3), pages 594-613, May.
  18. Elisa Jorge-González & Enrique González-Dávila & Raquel Martín-Rivero & Domingo Lorenzo-Díaz, 2020. "Univariate and multivariate forecasting of tourism demand using state-space models," Tourism Economics, , vol. 26(4), pages 598-621, June.
  19. Niematallah Elamin & Mototsugu Fukushige, 2016. "Forecasting extreme seasonal tourism demand," Discussion Papers in Economics and Business 16-23, Osaka University, Graduate School of Economics.
  20. Fildes, Robert & Wei, Yingqi & Ismail, Suzilah, 2011. "Evaluating the forecasting performance of econometric models of air passenger traffic flows using multiple error measures," International Journal of Forecasting, Elsevier, vol. 27(3), pages 902-922, July.
  21. De Gooijer, Jan G. & Hyndman, Rob J., 2006. "25 years of time series forecasting," International Journal of Forecasting, Elsevier, vol. 22(3), pages 443-473.
  22. Nyoni, Thabani, 2019. "Forecasting the population of Brazil using the Box-Jenkins ARIMA approach," MPRA Paper 92437, University Library of Munich, Germany.
  23. Jian-Wu Bi & Tian-Yu Han & Hui Li, 2022. "International tourism demand forecasting with machine learning models: The power of the number of lagged inputs," Tourism Economics, , vol. 28(3), pages 621-645, May.
  24. Nyoni, Thabani & Muchingami, Lovemore, 2019. "Foreign Direct Investment (FDI) dynamics in India: what do ARIMA models tell us?," MPRA Paper 93986, University Library of Munich, Germany.
  25. Cabrer Borrás, Bernanrdi & Rico Belda, Paz & Sancho Pérez, Amparo, 2016. "Los gastos públicos de promoción de los destinos y la demanda turística interior en España/Public Promotional Spending and Domestic Tourism Demand in Spain," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 34, pages 573-596, Agosto.
  26. Willem A. Naudé & Andrea Saayman, 2005. "Determinants of Tourist Arrivals in Africa: A Panel Data Regression Analysis," Tourism Economics, , vol. 11(3), pages 365-391, September.
  27. Andrawis, Robert R. & Atiya, Amir F. & El-Shishiny, Hisham, 2011. "Combination of long term and short term forecasts, with application to tourism demand forecasting," International Journal of Forecasting, Elsevier, vol. 27(3), pages 870-886, July.
  28. Yılmaz, Engin, 2015. "Forecasting tourist arrivals to Turkey," MPRA Paper 68616, University Library of Munich, Germany.
  29. Ogechi Adeola & Nathaniel Boso & Olaniyi Evans, 2018. "Drivers of international tourism demand in Africa," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 53(1), pages 25-36, January.
  30. Nyoni, Thabani, 2019. "The population question in Zimbabwe: reliable projections from the Box – Jenkins ARIMA approach," MPRA Paper 96791, University Library of Munich, Germany.
  31. Marcos Álvarez-Díaz & Manuel González-Gómez & María Soledad Otero-Giráldez, 2018. "Forecasting International Tourism Demand Using a Non-Linear Autoregressive Neural Network and Genetic Programming," Forecasting, MDPI, vol. 1(1), pages 1-17, September.
  32. Chuan Zhang & Ao‐Yun Hu & Yu‐Xin Tian, 2023. "Daily tourism forecasting through a novel method based on principal component analysis, grey wolf optimizer, and extreme learning machine," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(8), pages 2121-2138, December.
  33. Nyoni, Thabani, 2019. "Is South Africa the South Africa we all desire? Insights from the Box-Jenkins ARIMA approach," MPRA Paper 92441, University Library of Munich, Germany.
  34. Jan G. de Gooijer & Rob J. Hyndman, 2005. "25 Years of IIF Time Series Forecasting: A Selective Review," Tinbergen Institute Discussion Papers 05-068/4, Tinbergen Institute.
  35. Nyoni, Thabani, 2019. "What will be Botswana's population in 2050? Evidence from the Box-Jenkins approach," MPRA Paper 93977, University Library of Munich, Germany.
  36. Nyoni, Thabani & Mutongi, Chipo, 2019. "Prediction of total population in Togo using ARIMA models," MPRA Paper 93983, University Library of Munich, Germany.
  37. Coshall, John T. & Charlesworth, Richard, 2011. "A management orientated approach to combination forecasting of tourism demand," Tourism Management, Elsevier, vol. 32(4), pages 759-769.
  38. Niematallah Elamin & Mototsugu Fukushige, 2018. "Forecasting extreme seasonal tourism demand: the case of Rishiri Island in Japan," Asia-Pacific Journal of Regional Science, Springer, vol. 2(2), pages 279-296, August.
  39. Huanyin Su & Shanglin Mo & Huizi Dai & Jincong Shen, 2024. "Short-Term Prediction of Origin–Destination Passenger Flow in Urban Rail Transit Systems with Multi-Source Data: A Deep Learning Method Fusing High-Dimensional Features," Mathematics, MDPI, vol. 12(20), pages 1-21, October.
  40. Nyoni, Thabani & Mutongi, Chipo & Munyaradzi, Nyoni, 2019. "Population dynamics in Gambia: an ARIMA approach," MPRA Paper 93985, University Library of Munich, Germany.
  41. Nyoni, Thabani, 2019. "Box-Jenkins ARIMA approach to predicting total population in Russia," MPRA Paper 92456, University Library of Munich, Germany.
  42. Yanira Guanche García & Maha Shadaydeh & Miguel Mahecha & Joachim Denzler, 2019. "Extreme anomaly event detection in biosphere using linear regression and a spatiotemporal MRF model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 98(3), pages 849-867, September.
  43. Nyoni, Thabani, 2019. "Where is Eritrea going in terms of population growth? Insights from the ARIMA approach," MPRA Paper 92435, University Library of Munich, Germany.
  44. Omkar Joshi & Neelam C. Poudyal & Lincoln R. Larson, 2017. "The influence of sociopolitical, natural, and cultural factors on international tourism growth: a cross-country panel analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 19(3), pages 825-838, June.
  45. Nyoni, Thabani, 2019. "Can Algeria be the first African country to outsmart the Malthusian population trap? Insights from the ARIMA approach," MPRA Paper 92425, University Library of Munich, Germany.
  46. Nicholas Apergis & Andrea Mervar & James E. Payne, 2017. "Forecasting disaggregated tourist arrivals in Croatia," Tourism Economics, , vol. 23(1), pages 78-98, February.
  47. Nyoni, Thabani & Mutongi, Chipo, 2019. "Can Afghanistan be a victim of the Malthusian population trap? what does the ARIMA approach tell us?," MPRA Paper 93978, University Library of Munich, Germany.
  48. I. Gede Nyoman M. Jaya & Henk Folmer, 2021. "Bayesian spatiotemporal forecasting and mapping of COVID‐19 risk with application to West Java Province, Indonesia," Journal of Regional Science, Wiley Blackwell, vol. 61(4), pages 849-881, September.
  49. Nyoni, Thabani, 2019. "Predicting total population in India: A Box-Jenkins ARIMA approach," MPRA Paper 92436, University Library of Munich, Germany.
  50. Nyoni, Thabani & Muchingami, Lovemore, 2019. "Modeling and forecasting Botswana's Growth Domestic Product (GDP) per capita," MPRA Paper 93987, University Library of Munich, Germany.
  51. Arunanondchai, Panit & Senia, Mark C. & Capps, Oral, Jr., 2017. "Can U.S. EIA Retail Gasoline Price Forecasts Be Improved Upon?," Reports 285201, Texas A&M University, Agribusiness, Food, and Consumer Economics Research Center.
  52. Lingbing Feng & Yanlin Shi, 2018. "Forecasting mortality rates: multivariate or univariate models?," Journal of Population Research, Springer, vol. 35(3), pages 289-318, September.
  53. Nyoni, Thabani, 2019. "Somalia population dynamics versus the Malthusian population trap: What does the ARIMA approach tell us?," MPRA Paper 92457, University Library of Munich, Germany.
  54. Chhorn, Theara & Chaiboonsri, Chukiat, 2017. "Modelling and Forecasting Tourist Arrivals to Cambodia: An Application of ARIMA-GARCH Approach," MPRA Paper 83942, University Library of Munich, Germany, revised 27 Dec 2017.
  55. Stephen F. Witt & Haiyan Song & Stephen Wanhill, 2004. "Forecasting Tourism-Generated Employment: The Case of Denmark," Tourism Economics, , vol. 10(2), pages 167-176, June.
  56. Nyoni, Thabani, 2019. "Where is Kenya being headed to? Empirical evidence from the Box-Jenkins ARIMA approach," MPRA Paper 91395, University Library of Munich, Germany.
  57. Nyoni, Thabani, 2019. "What will be China's population in 2050? Evidence from the Box-Jenkins approach," MPRA Paper 92439, University Library of Munich, Germany.
  58. Song, Haiyan & Qiu, Richard T.R. & Park, Jinah, 2019. "A review of research on tourism demand forecasting," Annals of Tourism Research, Elsevier, vol. 75(C), pages 338-362.
  59. Mavri, Maria & Angelis, Vasilis, 2009. "Forecasting the Growth of e-Tourism Sector: The Case Study of Mediterranean Countries," MPRA Paper 25439, University Library of Munich, Germany, revised 25 Aug 2009.
  60. Shaolong Suna & Dan Bi & Ju-e Guo & Shouyang Wang, 2020. "Seasonal and Trend Forecasting of Tourist Arrivals: An Adaptive Multiscale Ensemble Learning Approach," Papers 2002.08021, arXiv.org, revised Mar 2020.
  61. Marcos à lvarez-Díaz & Jaume Rosselló-Nadal, 2010. "Forecasting British Tourist Arrivals in the Balearic Islands Using Meteorological Variables," Tourism Economics, , vol. 16(1), pages 153-168, March.
  62. Ya-Ling Huang & Chin-Tsai Lin, 2011. "Developing an interval forecasting method to predict undulated demand," Quality & Quantity: International Journal of Methodology, Springer, vol. 45(3), pages 513-524, April.
  63. José Antonio Cava Jiménez & María Genoveva Millán Vázquez de la Torre & Ricardo Hernández Rojas, 2019. "Analysis of the Tourism Demand for Iberian Ham Routes in Andalusia (Southern Spain): Tourist Profile," Sustainability, MDPI, vol. 11(16), pages 1-21, August.
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