Econometric Modelling and Forecasting of Tourism Demand: Methods and Applications

— —

Doris Chenguang Wu Gang Li

Econometric Modelling and Forecasting of Tourism Demand

Methods and Applications

Doris Chenguang Wu, Gang Li, Haiyan Song (Hong Kong Polytechnic University, China)

$75.99

Paperback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

Routledge
27 October 2022

Econometrics; Tourism industry; Sports & outdoor recreation

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.

Written by a plethora of worldwide experts on this topic, this book offers a comprehensive approach to tourism econometrics. Accurate demand forecasts are crucial to decision-making in the tourism industry and this book provides real-life tourism applications and the corresponding R code alongside theoretical foundations, in order to enhance understanding and practice amongst its readers. The methodologies introduced include general to specific modelling, cointegration, vector autoregression, time-varying parameter modelling, spatiotemporal econometric models, mixed-frequency forecasting, hybrid forecasting models, forecasting combination techniques, density forecasting, judgemental forecasting, scenario forecasting under crisis, and web-based tourism forecasting.

Embellished with insightful figures and tables throughout, this book is an invaluable resource for those using advanced econometric methodologies in their studies and research, including both undergraduate and postgraduate students, researchers, and practitioners.

Edited by: Doris Chenguang Wu, Gang Li, Haiyan Song (Hong Kong Polytechnic University, China)
Imprint: Routledge
Country of Publication: United Kingdom
Dimensions: Height: 229mm, Width: 152mm,
Weight: 380g
ISBN: 9781032216416
ISBN 10: 1032216417
Pages: 310
Publication Date: 27 October 2022
Audience: General/trade , ELT Advanced
Format: Paperback
Publisher's Status: Active

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.

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.