Learning Resource and Development
Amazon cover image
Image from Amazon.com
Image from Coce

Econometric modelling and forecasting of tourism demand : methods and applications / edited by Doris Chenguang Wu, Gang Li, and Haiyan Song.

Contributor(s): Material type: TextTextPublisher: Abingdon, Oxon ; New York, NY : Routledge, 2023Edition: First editionDescription: xvi, 310 pages ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781032216416
Subject(s): Additional physical formats: Online version:: Econometric modelling and forecasting of tourism demandDDC classification:
  • 338.4791 Ec741 23/eng20221003
LOC classification:
  • G155.A1 E244 2023
Contents:
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.
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. 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.
Tags from this library: No tags from this library for this title. Log in to add tags.
Holdings
Item type Current library Shelving location Call number Copy number Status Date due Barcode
Books Books Main Library Circulation Section CIR 338.4791 Ec741 2023 (Browse shelf(Opens below)) 1-1 Available 029563

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.

There are no comments on this title.

to post a comment.