Modelling and Forecasting Demand in Tourism

International tourism has grown rapidly over the last twenty years, but the rate of growth has varied considerably from year to year, with some countries experiencing declines in their tourist arrivals. Planning under these circumstances is both extremely difficult and important. In order to plan successfully, accurate forecasts of tourist's flows are required.
This book sets out to compare the accuracy of seven forecasting methods--six univariate time series techniques and econometrics--when applied to international tourism demand data. The estimated parameters in the econometric models also permits an evaluation of the impact of factors such as income, prices, exchange rates and currency restrictions on tourism demand.
Modeling and Forecasting Demand in Tourism is of considerable value and interest to both academics and research students, as well as those practitioners in the fields of tourism, travel, hospitality and consultancy who make decisions or give advice on the basis of forecasts.

Key Features
* Presents wide coverage of forecasting models
* Covers some of the most important international tourism areas: the US, the UK, Germany, and France
* Written by experts in the field of tourism forecasting

Christine A. Witt was formerly Lecturer in Tourism at the University of Wales, Swansea, and is now working with KPMG Peat Marwick McLintock.