Tourism Demand Modelling and Forecasting: 1st Edition (Hardback) book cover

Tourism Demand Modelling and Forecasting

1st Edition

Edited by Haiyan Song, S.F. Witt


188 pages

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Hardback: 9780080436739
pub: 2000-06-30
eBook (VitalSource) : 9780080519418
pub: 2012-08-21
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First Published in 2000. Routledge is an imprint of Taylor & Francis, an informa company.

Table of Contents

Preface. Introduction to Tourism Demand Analysis. Introduction. Determinants of tourism demand. Functional form and demand elasticities. Summary. Traditional Methodology of Tourism Demand Modelling. Introduction. Traditional methodology of tourism demand modelling. Failure of the traditional approach to tourism demand modelling. General-to-Specific Modelling. Introduction. General-to-specific modelling. Tests of restrictions on regression parameters. Diagnostic checking. Model selection. Worked example. Cointegration. Spurious regression. The concept of cointegration. Test for order of integration. Test for Cointegration. Error Correction Model. Cointegration and error correction mechanism. Estimating the ECM. Worked example. Vector Autoregression (VAR) and Cointegration. Introduction. Basics of VAR analysis. Impulse response analysis. Forecasting with VAR and error variance decomposition. Testing for Granger causality and exogeneity. An example of VAR modelling. VAR modelling and cointegration. Time Varying Parameter Modelling. Introduction. Are tourism demand elasticities constant over time? The TVP model and Kalman filter. A worked example. Summary and conclusions. Panel Data Analysis. Introduction. Model specification and estimation. An empirical study of a tourism demand model based on the panel data approach. Summary and conclusions. Evaluation of Forecasting Performance. Introduction. Measures of forecasting accuracy. Forecasting evaluation of different models. Concluding remarks. References. Author index. Subject index.

Subject Categories

BISAC Subject Codes/Headings:
BUSINESS & ECONOMICS / Industries / Hospitality, Travel & Tourism