NONLINEAR ECONOMETRIC ANALYSIS OF TOURISM DEMAND
Econometric analysis of tourism demand has increasingly received attention from both academics and practitioners, due to its significant benefit to marketing and investment decisions. A large body of studies has applied various econometric techniques to tourism demand modeling and forecasting, including pure time series analyses (see, for example, Gil-Alana, 2005; Goh & Law, 2002) and multivariate econometric models (see, for example, Wu, Li & Song, 2011; Song & Witt, 2006). Some studies further compared the forecasting accuracy of different tourism demand models (such as Athanosopoulos, et al., 2011; Song, et al., 2003). It is generally concluded that the accuracy of the forecasting models varies across the origin-destination pairs, forecasting horizons, data frequency and researchers’ knowledge about the forecasting models.
tourism demand econometric analysis nonlinearity STR model Hong Kong
Doris Chenguang Wu Haiyan Song Gang Li Fangping Peng
Business School Sun Yat-sen University School of Hotel and Tourism Management The Hong Kong Polytechnic University Faculty of Management and Law University of Surrey
国内会议
海口
英文
56-57
2011-10-23（万方平台首次上网日期，不代表论文的发表时间）