Econometric Modelling and Forecasting of Tourism Demand: Methods and Applications

Doris Chenguang Wu (Curatore)

Gang Li (Curatore)

Taylor & Francis Ltd, 2022

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.

• Curatore: Doris Chenguang Wu, Gang Li
• Editore: Taylor & Francis Ltd
• Anno: 2022
• Rilegatura: Hardback
• Pagine: 310 p.
• Dimensioni: 229 x 152 mm
• Peso: 358 gr.
• EAN: 9781032216423

Testo in English