Econometric Modelling and Forecasting of Tourism Demand: Methods and Applications

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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)

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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: 358g
ISBN: 9781032216423
ISBN 10: 1032216425
Pages: 310
Publication Date: 27 October 2022
Audience: General/trade , ELT Advanced
Format: Hardback
Publisher's Status: Active

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.