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  • Ký hiệu PL/XG: 338.4791 S6984
    Nhan đề: Tourism demand modelling and forecasting :
ISBN 0080436730
DDC 338.4791
Tác giả CN Song, Haiyan
Nhan đề Tourism demand modelling and forecasting : modern econometric approaches / Haiyan Song; Stephen F Witt
Lần xuất bản 1st ed
Thông tin xuất bản Amsterdam ; New York : Pergamon, 2000
Mô tả vật lý 179 pages. ;
Tùng thư Advances in tourism research series.
Tóm tắt 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."
Thuật ngữ chủ đề Tourism-Econometric models
Thuật ngữ chủ đề Tourism-Forecasting
Khoa Khoa Du lịch và Việt Nam học
Tác giả(bs) CN Witt, Stephen F
Địa chỉ Thư Viện Đại học Nguyễn Tất Thành
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082 |a338.4791|bS6984|223
100 |aSong, Haiyan
245 |aTourism demand modelling and forecasting : |bmodern econometric approaches / |cHaiyan Song; Stephen F Witt
250 |a1st ed
260 |aAmsterdam ; New York : |bPergamon, |c2000
300 |a179 pages. ;
490 |aAdvances in tourism research series.
504 |aIncludes bibliographical references (pages 169-173 ) and index.
520 |aThe 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."
541 |aMua
650 |aTourism|xEconometric models
650 |aTourism|xForecasting
690 |aKhoa Du lịch và Việt Nam học
700 |aWitt, Stephen F
852 |aThư Viện Đại học Nguyễn Tất Thành
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