Econometric modelling and forecasting of tourism demand : methods and applications
Author(s)
Bibliographic Information
Econometric modelling and forecasting of tourism demand : methods and applications
Routledge, 2023
- : pbk
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
It is very useful and timely book as demand forecasting has become a very crucial tool and provides important information for destination on which policy are created and implemented. This is especially important given the complexities arising the aftermath of the Covid19 pandemic.
* It looks at novel and recent developments in this field including judgement and scenario forecasting.
* Offers a comprehensive approach to tourism econometrics, looking at a variety of aspects.
* The authors are experts in this field and of the highest academic calibre.
Table of Contents
1. Overview of Econometric Tourism Demand Modelling and Forecasting. 2. Theoretical Foundations, Key Concepts and Data Description. 3. The Autoregressive Distributed Lag Model. 4. The Time-Varying Parameter Model. 5. Vector Autoregressive Models. 6. Spatiotemporal Econometric Models. 7. Mixed-Frequency Models. 8. Hybrid Forecasting Models. 9. Density Forecasting. 10. Forecast Combinations. 11. Judgmental Forecasting. 12. Scenario Forecasting during Crises. 13. A Web-based Tourism Forecasting System. Epilogue.
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