Forecasting tourism demand: An STM approach
By K. Greenidge. 2001
140 citations recorded by the source corpus.
Subfields: Sociology and Political Science, Tourism, Leisure and Hospitality Management
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Sociology and Political Science
- Haiyan Song
- Gang Li
- G. Crouch
- Bo Peng
- George Athanasopoulos
- Rob J Hyndman
- E. Sirakaya-Turk
- Stephen F. Witt
In Tourism, Leisure and Hospitality Management
- Haiyan Song
- Gang Li
- George Athanasopoulos
- Rob J Hyndman
- G. Crouch
- Stephen F. Witt
- Bo Peng
- Mario Mazzocchi
Citations in the corpus
- Testing the efficacy of the economic policy uncertainty index on tourism demand in USMCA: Theory and evidence (2020, methodology): “Greenidge (2001) used structural time series modeling including time varying components in the regression equation.”
- Tourism demand modelling and forecasting—A review of recent research (2008, background): “Gustavsson and Nordström (2001) also demonstrated that imposing unit roots on all frequencies results in more accurate short-term forecasts than models built constitutionally on the outcome from seasonal unit root tests.”
- A meta-analysis of international tourism demand forecasting and implications for practice (2014, methodology): “Greenidge (2001) successfully applied BSM to forecasting tourist arrivals to Barbados, and showed that it offered valuable”
- Modelling and Forecasting Australian Domestic Tourism (2006, background): “González and Moral (1995), Garcı́a-Ferrer and Queralt (1997), Greenidge (2001), Turner and Witt (2001) and Kulendran and Witt (2003) also consider causal structural time series models.”
- An econometric study of tourist arrivals in Aruba and its implications. (2005, unknown): “There are several studies on international tourist flows to Caribbean countries (Archer, 1976; Clarke, 1978; Summary, 1983; Archer, 1984; Rosensweig, 1988; Metzgen-Quemarez, 1989; Carey, 1991; Dharmaratne, 1995; Yoon & Shafer, 1996; Dalrymple & Greenidge, 1999; Greenidge, 2000; Vanegas & Croes, 2000”
- A Meta-Analysis of International Tourism Demand Elasticities (2013, background): “Most researchers employ either nominal or real GDP or gross national product (GNP), or their per capita forms, as a suitable measure of tourists’ income (see, e.g., Greenidge 2001; Turner and Witt 2001).”