02657cam a2200397 i 4500 22703368 CSPC 20250508161715.0 220720s2023 enk b 001 0 eng 2022021087 9781032216416 (paperback) 9781003269366 (eBook) DLC eng rda DLC DLC CSPC pcc G155.A1 E244 2023 338.4791 Ec741 23/eng20221003 Econometric modelling and forecasting of tourism demand : methods and applications / edited by Doris Chenguang Wu, Gang Li, and Haiyan Song. First edition. Abingdon, Oxon ; New York, NY : Routledge, 2023. xvi, 310 pages ; 24 cm. text txt rdacontent unmediated n rdamedia volume nc rdacarrier Includes bibliographical references and index. Overview of econometric tourism demand modelling and forecasting -- Theoretical foundations, key concepts, and data description -- The autoregressive distributed lag model -- The time-varying parameter model -- Vector autoregressive models -- Spatiotemporal econometric models -- Mixed-frequency models -- Hybrid forecasting models -- Density forecasting -- Forecast combinations -- Judgemental forecasting -- Scenario forecasting -- Scenario forecasting during crises -- A web-based tourism forecasting system -- Epilogue. "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. 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 postgraduate students, researchers and practitioners"-- Provided by publisher. Tourism Forecasting. Chenguang Wu, Doris, editor. Li, Gang, editor. Song, Haiyan, editor. Online version: Econometric modelling and forecasting of tourism demand First Edition. New York, NY : Routledge, 2023 9781003269366 (DLC) 2022021088 7 cbc orignew 1 ecip 20 y-gencatlg ddc BK 23 338.4791 Ec741 CIR 2023 0 0 0 ddc 0 0 CSPC CSPC CIR 2025-05-08 0 CIR 338.4791 Ec741 2023 029563 2025-05-08 16:17:40 1-1 2025-05-08 BK 29538 29538