The Advanced Econometrics of Tourism Demand Routledge Advances in Tourism Series
Auteurs : Song Haiyan, Witt Stephen F., Li Gang
Tourism demand is the foundation on which all tourism-related business decisions ultimately rest. Governments and companies such as airlines, tour operators, hotels, cruise ship lines, and recreation facility providers are interested in the demand for their products by tourists. The success of many businesses depends largely or totally on the state of tourism demand, and ultimate management failure is quite often due to the failure to meet market demand. This book introduces students, researchers and practitioners to the modern developments in advanced econometric methodology within the context of tourism demand analysis, and illustrates these developments with actual tourism applications. The concepts and computations of modern advanced econometric modelling methodologies are introduced at a level that is accessible to specialists and non-specialists alike. The methodologies introduced include general-to-specific modelling, cointegration, vector autoregression, time varying parameter modelling, panel data analysis and the almost ideal demand system (AIDS). In order to help the reader understand the various methodologies, extensive tourism demand examples are provided throughout the volume.
Date de parution : 01-2009
15.2x22.9 cm
Date de parution : 03-2012
Ouvrage de 234 p.
15.2x22.9 cm
Thèmes de The Advanced Econometrics of Tourism Demand :
Mots-clés :
SE Shock; modelling; Tourism Demand Model; analysis; USA Model; UK Resident; hypothesis; UK Model; variable; Tourism Demand; explanatory; ADF Regression; variables; OLS Estimate; cointegration; Cointegration Relationship; relationship; Tourism Demand Variable; lag; ADF Test; Time Varying Parameter Models; Cointegration Regression; Error Correction Model; Short Run Error Correction Model; Lag Length; TVP Approach; AIDS Model; Tourism Demand Functions; Cointegrating Vectors; Partial Adjustment Model; Var Model; International Tourism Spending; Unit Roots; Seasonal Unit Root Test