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Econometric Modelling and Forecasting of Tourism Demand Doris Chenguang Wu

Econometric Modelling and Forecasting of Tourism Demand By Doris Chenguang Wu

Econometric Modelling and Forecasting of Tourism Demand by Doris Chenguang Wu

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Summary

This insightful and timely volume provides a succinct, expert-led introduction to the latest developments in advanced econometric methodologies in the context of tourism demand modelling and forecasting.

Econometric Modelling and Forecasting of Tourism Demand Summary

Econometric Modelling and Forecasting of Tourism Demand: Methods and Applications by Doris Chenguang Wu

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.

About Doris Chenguang Wu

Doris Chenguang Wu, Ph.D., is a Professor in the School of Business at Sun Yat-sen University, China. Her research interests include tourism demand forecasting and tourism big data analytics.

Gang Li, Ph.D., is a Professor of Tourism Economics at the University of Surrey. His research interests include economic analysis and forecasting of tourism demand.

Haiyan Song, Ph.D., is Chan Chak Fu Professor of International Tourism in the School of Hotel and Tourism Management at the Hong Kong Polytechnic University. His research interests are in tourism demand modelling and forecasting, tourism supply chain management, and wine economics.

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.

Additional information

NLS9781032216416
9781032216416
1032216417
Econometric Modelling and Forecasting of Tourism Demand: Methods and Applications by Doris Chenguang Wu
Doris Chenguang Wu
New
Paperback
Taylor & Francis Ltd
2022-10-27
310
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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Customer Reviews - Econometric Modelling and Forecasting of Tourism Demand