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discrete choice model to a demand model, enabling welfare changes to be estimated in a conventional manner …
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backpropagation neural networks in forecasting tourism demand influenced by different factors. A numerical example from an existing … outperforms other approaches for forecasting tourism demand …
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Travel cost recreation demand models stem from a simple, but penetrating, insight. Consumption of an outdoor recreation …
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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. …
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