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1
Quantitative tourism industry analysis : introduction to input-output, social accounting matrix modeling and tourism satellite accounts / Tadayuki Hara
Amsterdam ; London : Butterworth-Heinemann, 2008.
282 pages. : color illustrations
Ký hiệu phân loại (DDC): 338.4791
Quantitative Tourism Industry Analysis is the first book to deal with the input-output, social accounting matrix in a way which readers from a non-economics or non-mathematical background can follow, in order to understand how useful their application would be for tourism industry analysis. It acquaints readers with useful applications of economic modelling without the unnecessary burden of higher algebra, so that they will understand concepts of the economics measurement system, Tourism Satellite Accounts (TSA) methodology. Quantitative Tourism Industry Analysis offers a new set of economic tools for tourism policy analysis, ideal for those with a non-mathematical background. * Tried and tested material to ensure that this often daunting topic is explained in an approachable way * Review questions provided at the end of each chapter to check understanding * A CD-ROM containing a wealth of extra learning material and key spreadsheets to illustrate the theories for more complex areas * Supporting teaching material available online for instructors.
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2
Tourism demand modelling and forecasting : modern econometric approaches / Haiyan Song; Stephen F Witt
Amsterdam ; New York : Pergamon, 2000
179 pages. ;
Ký hiệu phân loại (DDC): 338.4791
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."
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