02241cam a2200337 i 450000100090000000300050000900500170001400800410003101000170007202000310008902000270012004000340014704200080018105000230018908200360021224501470024825000190039526400560041430000290047033600260049933700280052533800270055350400510058050505280063152004760115965000260163570000340166170000230169570000270171877601580174522703368CSPC20250508161715.0220720s2023    enk      b    001 0 eng    a  2022021087  a9781032216416q(paperback)  z9781003269366q(eBook)  aDLCbengerdacDLCdDLCdCSPC  apcc00aG155.A1bE244 202300a338.4791bEc741223/eng2022100300aEconometric modelling and forecasting of tourism demand :bmethods and applications /cedited by Doris Chenguang Wu, Gang Li, and Haiyan Song.  aFirst edition. 1aAbingdon, Oxon ;aNew York, NY :bRoutledge,c2023.  axvi, 310 pages ;c24 cm.  atextbtxt2rdacontent  aunmediatedbn2rdamedia  avolumebnc2rdacarrier  aIncludes bibliographical references and index.0 aOverview 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.  a"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"--cProvided by publisher. 0aTourismxForecasting.1 aChenguang Wu, Doris,eeditor.1 aLi, Gang,eeditor.1 aSong, Haiyan,eeditor.08iOnline version:tEconometric modelling and forecasting of tourism demandbFirst Edition.dNew York, NY : Routledge, 2023z9781003269366w(DLC) 2022021088