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:
| 1. Verfasser: | |
|---|---|
| Weitere Verfasser: | |
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Amsterdam ; New York :
Pergamon,
2000.
|
| Ausgabe: | 1st ed. |
| Schriftenreihe: | Advances in tourism research series.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| 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."--Jacket |
| Beschreibung: | 1 online resource (viii, 178 pages) : illustrations |
| Bibliographie: | Includes bibliographical references (pages 167-171) and indexes. |
| ISBN: | 0585474567 9780585474564 9780080436739 0080436730 1136353569 9781136353567 1282380737 9781282380738 9786612380730 661238073X 0080519415 9780080519418 |
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| 100 | 1 | |a Song, Haiyan. | |
| 245 | 1 | 0 | |a Tourism demand modelling and forecasting : |b modern econometric approaches / |c Haiyan Song and Stephen F. Witt. |
| 246 | 3 | |a Tourism demand modeling and forecasting | |
| 250 | |a 1st ed. | ||
| 260 | |a Amsterdam ; |a New York : |b Pergamon, |c 2000. | ||
| 300 | |a 1 online resource (viii, 178 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 347 | |a data file | ||
| 490 | 1 | |a Advances in tourism research series | |
| 504 | |a Includes bibliographical references (pages 167-171) and indexes. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | 0 | |t Determinants of Tourism Demand -- |t Functional Form and Demand Elasticities -- |t Traditional Methodology of Tourism Demand Modelling -- |t Traditional Methodology of Tourism Demand Modelling -- |t Failure of the Traditional Approach to Tourism Demand Modelling -- |t General-to-Specific Modelling -- |t Tests of Restrictions on Regression Parameters -- |t Diagnostic Checking -- |t Model Selection -- |t Cointegration -- |t Spurious Regression -- |t The Concept of Cointegration -- |t Test for Order of Integration -- |t Test for Cointegration -- |t Error Correction Model -- |t Cointegration and Error Correction Mechanism -- |t Estimating the ECM -- |t Vector Autoregression (VAR) and Cointegration -- |t Basics of VAR Analysis -- |t Impulse Response Analysis -- |t Forecasting with VAR and Error Variance Decomposition -- |t Testing for Granger Causality and Exogeneity -- |t An Example of VAR Modelling -- |t VAR Modelling and Cointegration -- |t Time Varying Parameter Modelling -- |t Are Tourism Demand Elasticities Constant Over Time? -- |t The TVP Model and Kalman Filter -- |t Panel Data Analysis -- |t Model Specification and Estimation -- |t An Empirical Study of a Tourism Demand Model Based on the Panel Data Approach -- |t Evaluation of Forecasting Performance -- |t Measures of Forecasting Accuracy -- |t Forecasting Evaluation of Different Models. |
| 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."--Jacket | |
| 546 | |a English. | ||
| 650 | 0 | |a Tourism |x Econometric models. | |
| 650 | 0 | |a Tourism |x Forecasting. | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Industries |x Hospitality, Travel & Tourism. |2 bisacsh | |
| 650 | 7 | |a Tourism |x Econometric models |2 fast | |
| 650 | 7 | |a Tourism |x Forecasting |2 fast | |
| 700 | 1 | |a Witt, Stephen F. | |
| 758 | |i has work: |a Tourism demand modelling and forecasting (Text) |1 https://id.oclc.org/worldcat/entity/E39PD3yjDjg779BHQPtg8th4dP |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Song, Haiyan. |t Tourism demand modelling and forecasting. |b 1st ed. |d Amsterdam ; New York : Pergamon, 2000 |z 0080436730 |w (DLC) 00021690 |w (OCoLC)43397114 |
| 830 | 0 | |a Advances in tourism research series. |0 http://id.loc.gov/authorities/names/n99830747 | |
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Datensatz im Suchindex
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| _version_ | 1816881612042797056 |
| adam_text | |
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| author | Song, Haiyan |
| author2 | Witt, Stephen F. |
| author2_role | |
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| author_facet | Song, Haiyan Witt, Stephen F. |
| author_role | |
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| callnumber-first | G - Geography, Anthropology, Recreation |
| callnumber-label | G155 |
| callnumber-raw | G155.A1 S593 2000eb |
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| callnumber-subject | G - General Geography |
| collection | ZDB-4-EBA |
| contents | Determinants of Tourism Demand -- Functional Form and Demand Elasticities -- Traditional Methodology of Tourism Demand Modelling -- Failure of the Traditional Approach to Tourism Demand Modelling -- General-to-Specific Modelling -- Tests of Restrictions on Regression Parameters -- Diagnostic Checking -- Model Selection -- Cointegration -- Spurious Regression -- The Concept of Cointegration -- Test for Order of Integration -- Test for Cointegration -- Error Correction Model -- Cointegration and Error Correction Mechanism -- Estimating the ECM -- Vector Autoregression (VAR) and Cointegration -- Basics of VAR Analysis -- Impulse Response Analysis -- Forecasting with VAR and Error Variance Decomposition -- Testing for Granger Causality and Exogeneity -- An Example of VAR Modelling -- VAR Modelling and Cointegration -- Time Varying Parameter Modelling -- Are Tourism Demand Elasticities Constant Over Time? -- The TVP Model and Kalman Filter -- Panel Data Analysis -- Model Specification and Estimation -- An Empirical Study of a Tourism Demand Model Based on the Panel Data Approach -- Evaluation of Forecasting Performance -- Measures of Forecasting Accuracy -- Forecasting Evaluation of Different Models. |
| ctrlnum | (OCoLC)53277581 |
| 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 | 1st ed. |
| format | Electronic eBook |
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"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. 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| id | ZDB-4-EBA-ocm53277581 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:15:29Z |
| institution | BVB |
| isbn | 0585474567 9780585474564 9780080436739 0080436730 1136353569 9781136353567 1282380737 9781282380738 9786612380730 661238073X 0080519415 9780080519418 |
| language | English |
| oclc_num | 53277581 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (viii, 178 pages) : illustrations |
| psigel | ZDB-4-EBA |
| publishDate | 2000 |
| publishDateSearch | 2000 |
| publishDateSort | 2000 |
| publisher | Pergamon, |
| record_format | marc |
| series | Advances in tourism research series. |
| series2 | Advances in tourism research series |
| spelling | Song, Haiyan. Tourism demand modelling and forecasting : modern econometric approaches / Haiyan Song and Stephen F. Witt. Tourism demand modeling and forecasting 1st ed. Amsterdam ; New York : Pergamon, 2000. 1 online resource (viii, 178 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier data file Advances in tourism research series Includes bibliographical references (pages 167-171) and indexes. Print version record. Determinants of Tourism Demand -- Functional Form and Demand Elasticities -- Traditional Methodology of Tourism Demand Modelling -- Traditional Methodology of Tourism Demand Modelling -- Failure of the Traditional Approach to Tourism Demand Modelling -- General-to-Specific Modelling -- Tests of Restrictions on Regression Parameters -- Diagnostic Checking -- Model Selection -- Cointegration -- Spurious Regression -- The Concept of Cointegration -- Test for Order of Integration -- Test for Cointegration -- Error Correction Model -- Cointegration and Error Correction Mechanism -- Estimating the ECM -- Vector Autoregression (VAR) and Cointegration -- Basics of VAR Analysis -- Impulse Response Analysis -- Forecasting with VAR and Error Variance Decomposition -- Testing for Granger Causality and Exogeneity -- An Example of VAR Modelling -- VAR Modelling and Cointegration -- Time Varying Parameter Modelling -- Are Tourism Demand Elasticities Constant Over Time? -- The TVP Model and Kalman Filter -- Panel Data Analysis -- Model Specification and Estimation -- An Empirical Study of a Tourism Demand Model Based on the Panel Data Approach -- Evaluation of Forecasting Performance -- Measures of Forecasting Accuracy -- Forecasting Evaluation of Different Models. "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."--Jacket English. Tourism Econometric models. Tourism Forecasting. BUSINESS & ECONOMICS Industries Hospitality, Travel & Tourism. bisacsh Tourism Econometric models fast Tourism Forecasting fast Witt, Stephen F. has work: Tourism demand modelling and forecasting (Text) https://id.oclc.org/worldcat/entity/E39PD3yjDjg779BHQPtg8th4dP https://id.oclc.org/worldcat/ontology/hasWork Print version: Song, Haiyan. Tourism demand modelling and forecasting. 1st ed. Amsterdam ; New York : Pergamon, 2000 0080436730 (DLC) 00021690 (OCoLC)43397114 Advances in tourism research series. http://id.loc.gov/authorities/names/n99830747 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=91254 Volltext |
| spellingShingle | Song, Haiyan Tourism demand modelling and forecasting : modern econometric approaches / Advances in tourism research series. Determinants of Tourism Demand -- Functional Form and Demand Elasticities -- Traditional Methodology of Tourism Demand Modelling -- Failure of the Traditional Approach to Tourism Demand Modelling -- General-to-Specific Modelling -- Tests of Restrictions on Regression Parameters -- Diagnostic Checking -- Model Selection -- Cointegration -- Spurious Regression -- The Concept of Cointegration -- Test for Order of Integration -- Test for Cointegration -- Error Correction Model -- Cointegration and Error Correction Mechanism -- Estimating the ECM -- Vector Autoregression (VAR) and Cointegration -- Basics of VAR Analysis -- Impulse Response Analysis -- Forecasting with VAR and Error Variance Decomposition -- Testing for Granger Causality and Exogeneity -- An Example of VAR Modelling -- VAR Modelling and Cointegration -- Time Varying Parameter Modelling -- Are Tourism Demand Elasticities Constant Over Time? -- The TVP Model and Kalman Filter -- Panel Data Analysis -- Model Specification and Estimation -- An Empirical Study of a Tourism Demand Model Based on the Panel Data Approach -- Evaluation of Forecasting Performance -- Measures of Forecasting Accuracy -- Forecasting Evaluation of Different Models. Tourism Econometric models. Tourism Forecasting. BUSINESS & ECONOMICS Industries Hospitality, Travel & Tourism. bisacsh Tourism Econometric models fast Tourism Forecasting fast |
| title | Tourism demand modelling and forecasting : modern econometric approaches / |
| title_alt | Tourism demand modeling and forecasting Determinants of Tourism Demand -- Functional Form and Demand Elasticities -- Traditional Methodology of Tourism Demand Modelling -- Failure of the Traditional Approach to Tourism Demand Modelling -- General-to-Specific Modelling -- Tests of Restrictions on Regression Parameters -- Diagnostic Checking -- Model Selection -- Cointegration -- Spurious Regression -- The Concept of Cointegration -- Test for Order of Integration -- Test for Cointegration -- Error Correction Model -- Cointegration and Error Correction Mechanism -- Estimating the ECM -- Vector Autoregression (VAR) and Cointegration -- Basics of VAR Analysis -- Impulse Response Analysis -- Forecasting with VAR and Error Variance Decomposition -- Testing for Granger Causality and Exogeneity -- An Example of VAR Modelling -- VAR Modelling and Cointegration -- Time Varying Parameter Modelling -- Are Tourism Demand Elasticities Constant Over Time? -- The TVP Model and Kalman Filter -- Panel Data Analysis -- Model Specification and Estimation -- An Empirical Study of a Tourism Demand Model Based on the Panel Data Approach -- Evaluation of Forecasting Performance -- Measures of Forecasting Accuracy -- Forecasting Evaluation of Different Models. |
| 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 | Tourism Econometric models. Tourism Forecasting. BUSINESS & ECONOMICS Industries Hospitality, Travel & Tourism. bisacsh Tourism Econometric models fast Tourism Forecasting fast |
| topic_facet | Tourism Econometric models. Tourism Forecasting. BUSINESS & ECONOMICS Industries Hospitality, Travel & Tourism. Tourism Econometric models Tourism Forecasting |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=91254 |
| work_keys_str_mv | AT songhaiyan tourismdemandmodellingandforecastingmoderneconometricapproaches AT wittstephenf tourismdemandmodellingandforecastingmoderneconometricapproaches AT songhaiyan tourismdemandmodelingandforecasting AT wittstephenf tourismdemandmodelingandforecasting |