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Univariate and multivariate forecasting of tourism demand using state-space models
Jorge-González, Elisa; González-Dávila, Enrique; … - In: Tourism economics : the business and finance of tourism … 26 (2020) 4, pp. 598-621
Persistent link: https://www.econbiz.de/10012216467
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Tourism demand forecasting : a time varying parameter error correction model
Li, Gang; Wong, K. F.; Song, Haiyan; Witt, Stephen F. - In: Journal of travel research : a quarterly publication of … 45 (2006) 2, pp. 175-185
Persistent link: https://www.econbiz.de/10003385639
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Forecasting tourism demand for South Africa using a single equation causal approach
Louw, Riëtte; Saayman, Andrea - In: Quantitative methods in tourism economics : [it is the …, (pp. 79-96). 2013
Persistent link: https://www.econbiz.de/10009710437
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Economic sentiment indicator as a demand determinant
Altin, Mehmet; Uysal, Muzaffer - In: Tourism analysis : an interdisciplinary tourism & … 19 (2014) 5, pp. 581-597
Persistent link: https://www.econbiz.de/10010468694
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A new approach to modelling and forecasting monthly guest nights in hotels
Brännäs, Kurt; Hellström, Jörgen; Nordström, Jonas - 1999
Persistent link: https://www.econbiz.de/10001398533
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Seasonal forecasting performance considering varying income elasticities in tourism demand
Smeral, Egon - In: Tourism economics : the business and finance of tourism … 25 (2019) 3, pp. 355-374
Persistent link: https://www.econbiz.de/10012181996
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Tourism forecasting performance considering the instability of demand elasticities
Smeral, Egon - In: Journal of travel research : a quarterly publication of … 56 (2017) 7, pp. 913-926
Persistent link: https://www.econbiz.de/10011731312
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Effects of multiple financial news shocks on tourism demand volatility modelling and forecasting
Zhang, Yuruixian; Choo, Wei Chong; Yuhanis Abdul Aziz; … - In: Journal of risk and financial management : JRFM 15 (2022) 7, pp. 1-47
economics and financial markets, the effects of combining multiple news shocks on the volatility of tourism demand have not yet … GJRGARCH-FFNSs model is the best model for Malaysian tourism demand volatility forecasting accuracy. Furthermore, KLCI and Gold … asymmetry impacts on tourism demand volatility. …
Persistent link: https://www.econbiz.de/10013369139
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Econometric forecasting of tourist arrivals using Bayesian structural time-series
Andrews, Antony; Kimpton, Sean - In: Economic papers 42 (2023) 2, pp. 200-211
Persistent link: https://www.econbiz.de/10014365142
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Tourism demand in Tunisia : a VECM approach
Dekkiche, Djamal - In: Naše gospodarstvo : NG 69 (2023) 2, pp. 50-59
This research aimed to study the determinants of tourism demand in Tunisia from 1995 to 2019 with four independent … independent variables negatively impact tourism demand except Air transport. Depending on the results obtained, policymakers … should be aware of the negative effect of the country's political instability on the extent of external tourism demand. In …
Persistent link: https://www.econbiz.de/10014310015