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...
Saved in:
| New Title: | The advanced econometrics of tourism demand |
|---|---|
| Main Authors: | , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Amsterdam [u.a.]
Pergamon
2000
|
| Edition: | 1. ed. |
| Series: | Advances in tourism research series
|
| Subjects: | |
| Online Access: | BTU01 Volltext |
| Summary: | "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. |
| Physical Description: | 1 Online-Ressource (VIII, 178 S.) |
| ISBN: | 0080436730 9780080436739 |
Staff View
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| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 338 - Production |
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| dewey-sort | 3338.4 3791 |
| dewey-tens | 330 - Economics |
| discipline | Wirtschaftswissenschaften |
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| id | DE-604.BV040907297 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T00:35:00Z |
| institution | BVB |
| isbn | 0080436730 9780080436739 |
| language | English |
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| physical | 1 Online-Ressource (VIII, 178 S.) |
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| publishDate | 2000 |
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| publisher | Pergamon |
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| 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 1 Online-Ressource (VIII, 178 S.) txt rdacontent c rdamedia cr rdacarrier Advances in tourism research series "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 Tourismus (DE-588)4018406-7 gnd rswk-swf Nachfrage (DE-588)4041036-5 gnd rswk-swf Prognose (DE-588)4047390-9 gnd rswk-swf Mathematisches Modell (DE-588)4114528-8 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 Später u.d.T. The advanced econometrics of tourism demand http://www.sciencedirect.com/science/book/9780080436739 Verlag Volltext |
| spellingShingle | Song, Haiyan Witt, Stephen F. Tourism demand modelling and forecasting modern econometric approaches Ökonometrisches Modell Tourism Econometric models Tourism Forecasting Tourismus (DE-588)4018406-7 gnd Nachfrage (DE-588)4041036-5 gnd Prognose (DE-588)4047390-9 gnd Mathematisches Modell (DE-588)4114528-8 gnd |
| subject_GND | (DE-588)4018406-7 (DE-588)4041036-5 (DE-588)4047390-9 (DE-588)4114528-8 |
| 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_new | The advanced econometrics of tourism demand |
| 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 Tourismus (DE-588)4018406-7 gnd Nachfrage (DE-588)4041036-5 gnd Prognose (DE-588)4047390-9 gnd Mathematisches Modell (DE-588)4114528-8 gnd |
| topic_facet | Ökonometrisches Modell Tourism Econometric models Tourism Forecasting Tourismus Nachfrage Prognose Mathematisches Modell |
| url | http://www.sciencedirect.com/science/book/9780080436739 |
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