Tourism demand modelling and forecasting: modern econometric approaches
"The aim of this book is to present the recent advances in econometric modelling methodology within the context of tourism demand analysis at a level that is accessible to non-specialists, and to illustrate these new developments with actual tourism applications." "The book begins wit...
Gespeichert in:
Hauptverfasser: | , |
---|---|
Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Amsterdam [u.a.]
Pergamon
2000
|
Ausgabe: | 1. ed. |
Schriftenreihe: | Advances in tourism research series
|
Schlagworte: | |
Zusammenfassung: | "The aim of this book is to present the recent advances in econometric modelling methodology within the context of tourism demand analysis at a level that is accessible to non-specialists, and to illustrate these new developments with actual tourism applications." "The book begins with an introduction to the fundamentals of tourism demand analysis, before addressing the problems of traditional tourism demand modelling and forecasting, i.e. data mining and spurious regression due to common trends in the time series. Three chapters explore the general-to-specific approach to tourism demand modelling and forecasting, including the use of autoregressive distributed lag processes, cointegration analysis and error correction models. The time varying parameter model together with the use of the Kalman filter as an estimation method is a useful tool for examining the effects of regime shifts on tourism demand elasticities: this is explored next. The panel data approach is introduced as a way of overcoming the problem of estimation and forecasting biases caused by insufficient time series data. Finally, the book concludes by evaluating the empirical forecasting performance of the various models and putting forward some general conclusions."--BOOK JACKET. |
Beschreibung: | Spätere Ausg. u.d.T.: Song, Haiyan: The advanced econometrics of tourism demand |
Beschreibung: | VIII, 178 S. |
ISBN: | 0080436730 |
Internformat
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490 | 0 | |a Advances in tourism research series | |
500 | |a Spätere Ausg. u.d.T.: Song, Haiyan: The advanced econometrics of tourism demand | ||
520 | 1 | |a "The aim of this book is to present the recent advances in econometric modelling methodology within the context of tourism demand analysis at a level that is accessible to non-specialists, and to illustrate these new developments with actual tourism applications." "The book begins with an introduction to the fundamentals of tourism demand analysis, before addressing the problems of traditional tourism demand modelling and forecasting, i.e. data mining and spurious regression due to common trends in the time series. Three chapters explore the general-to-specific approach to tourism demand modelling and forecasting, including the use of autoregressive distributed lag processes, cointegration analysis and error correction models. The time varying parameter model together with the use of the Kalman filter as an estimation method is a useful tool for examining the effects of regime shifts on tourism demand elasticities: this is explored next. The panel data approach is introduced as a way of overcoming the problem of estimation and forecasting biases caused by insufficient time series data. Finally, the book concludes by evaluating the empirical forecasting performance of the various models and putting forward some general conclusions."--BOOK JACKET. | |
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Datensatz im Suchindex
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---|---|
any_adam_object | |
author | Song, Haiyan Witt, Stephen F. |
author_facet | Song, Haiyan Witt, Stephen F. |
author_role | aut aut |
author_sort | Song, Haiyan |
author_variant | h s hs s f w sf sfw |
building | Verbundindex |
bvnumber | BV013284139 |
callnumber-first | G - Geography, Anthropology, Recreation |
callnumber-label | G155 |
callnumber-raw | G155.A1 |
callnumber-search | G155.A1 |
callnumber-sort | G 3155 A1 |
callnumber-subject | G - General Geography |
classification_rvk | QQ 955 |
ctrlnum | (OCoLC)43397114 (DE-599)BVBBV013284139 |
dewey-full | 338.4/791 |
dewey-hundreds | 300 - Social sciences |
dewey-ones | 338 - Production |
dewey-raw | 338.4/791 |
dewey-search | 338.4/791 |
dewey-sort | 3338.4 3791 |
dewey-tens | 330 - Economics |
discipline | Wirtschaftswissenschaften |
edition | 1. ed. |
format | Book |
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id | DE-604.BV013284139 |
illustrated | Not Illustrated |
indexdate | 2024-07-09T18:43:05Z |
institution | BVB |
isbn | 0080436730 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-009056310 |
oclc_num | 43397114 |
open_access_boolean | |
owner | DE-12 |
owner_facet | DE-12 |
physical | VIII, 178 S. |
publishDate | 2000 |
publishDateSearch | 2000 |
publishDateSort | 2000 |
publisher | Pergamon |
record_format | marc |
series2 | Advances in tourism research series |
spelling | Song, Haiyan Verfasser aut Tourism demand modelling and forecasting modern econometric approaches Haiyan Song and Stephen F. Witt 1. ed. Amsterdam [u.a.] Pergamon 2000 VIII, 178 S. txt rdacontent n rdamedia nc rdacarrier Advances in tourism research series Spätere Ausg. u.d.T.: Song, Haiyan: The advanced econometrics of tourism demand "The aim of this book is to present the recent advances in econometric modelling methodology within the context of tourism demand analysis at a level that is accessible to non-specialists, and to illustrate these new developments with actual tourism applications." "The book begins with an introduction to the fundamentals of tourism demand analysis, before addressing the problems of traditional tourism demand modelling and forecasting, i.e. data mining and spurious regression due to common trends in the time series. Three chapters explore the general-to-specific approach to tourism demand modelling and forecasting, including the use of autoregressive distributed lag processes, cointegration analysis and error correction models. The time varying parameter model together with the use of the Kalman filter as an estimation method is a useful tool for examining the effects of regime shifts on tourism demand elasticities: this is explored next. The panel data approach is introduced as a way of overcoming the problem of estimation and forecasting biases caused by insufficient time series data. Finally, the book concludes by evaluating the empirical forecasting performance of the various models and putting forward some general conclusions."--BOOK JACKET. Ökonometrisches Modell Tourism Econometric models Tourism Forecasting Mathematisches Modell (DE-588)4114528-8 gnd rswk-swf Tourismus (DE-588)4018406-7 gnd rswk-swf Prognose (DE-588)4047390-9 gnd rswk-swf Nachfrage (DE-588)4041036-5 gnd rswk-swf Tourismus (DE-588)4018406-7 s Nachfrage (DE-588)4041036-5 s Prognose (DE-588)4047390-9 s DE-604 Mathematisches Modell (DE-588)4114528-8 s Witt, Stephen F. Verfasser aut |
spellingShingle | Song, Haiyan Witt, Stephen F. Tourism demand modelling and forecasting modern econometric approaches Ökonometrisches Modell Tourism Econometric models Tourism Forecasting Mathematisches Modell (DE-588)4114528-8 gnd Tourismus (DE-588)4018406-7 gnd Prognose (DE-588)4047390-9 gnd Nachfrage (DE-588)4041036-5 gnd |
subject_GND | (DE-588)4114528-8 (DE-588)4018406-7 (DE-588)4047390-9 (DE-588)4041036-5 |
title | Tourism demand modelling and forecasting modern econometric approaches |
title_auth | Tourism demand modelling and forecasting modern econometric approaches |
title_exact_search | Tourism demand modelling and forecasting modern econometric approaches |
title_full | Tourism demand modelling and forecasting modern econometric approaches Haiyan Song and Stephen F. Witt |
title_fullStr | Tourism demand modelling and forecasting modern econometric approaches Haiyan Song and Stephen F. Witt |
title_full_unstemmed | Tourism demand modelling and forecasting modern econometric approaches Haiyan Song and Stephen F. Witt |
title_short | Tourism demand modelling and forecasting |
title_sort | tourism demand modelling and forecasting modern econometric approaches |
title_sub | modern econometric approaches |
topic | Ökonometrisches Modell Tourism Econometric models Tourism Forecasting Mathematisches Modell (DE-588)4114528-8 gnd Tourismus (DE-588)4018406-7 gnd Prognose (DE-588)4047390-9 gnd Nachfrage (DE-588)4041036-5 gnd |
topic_facet | Ökonometrisches Modell Tourism Econometric models Tourism Forecasting Mathematisches Modell Tourismus Prognose Nachfrage |
work_keys_str_mv | AT songhaiyan tourismdemandmodellingandforecastingmoderneconometricapproaches AT wittstephenf tourismdemandmodellingandforecastingmoderneconometricapproaches |