Abstract
The advantages of error correction models (ECMs) and time varying parameter (TVP) models have been discussed in the tourism forecasting literature. These models are now combined to give a new single-equation model, the time varying parameter error correction model (TVP-ECM), which is applied for the first time in the context of tourism demand forecasting. The empirical study focuses on tourism demand, measured by tourism spending per capita, by U.K. residents for five key Western European destinations. The empirical results show that the TVP-ECM can be expected to outperform a number of alternative econometric and time-series models in forecasting the demand for tourism, especially in forecasting the growth rate of tourism demand. A practical implication of this result is that the TVP-ECM approach should be used when forecasting tourism growth is concerned.
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