Forecasting international quarterly tourist flows using error-correction and time-series models

By N. Kulendran, Maxwell L. King. 1997

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

The Tourism Forecasting Competition (2011, background): “It is also popular in the tourism literature with unrestricted models and also models incorporating long-run restrictions (see, for example, Kulendran and King, 1997; Witt et al., 2003; Song and Witt, 2006; Bonham et al., 2009).”
Fiji's Tourism Demand: The ARDL Approach to Cointegration (2004, methodology): “The selection of independent variables was determined by a review of previous empirical studies (for example, Kulendran, 1996; Kulendran and King, 1997; Seddighi and Shearing, 1997; Lim and McAleer, 2001). In a survey of 100 empirical studies on tourism demand modelling, Lim (1997) found that income”
Modeling Seasonality in Tourism Forecasting (2005, methodology): “…structural (AR), and no-change 996), Kulendran and 1, 2003a), and Turner model for seasonal tourism demand forecasting, and in the past, it has provided better forecasts than the econometrics and time-series models (Gonzalez and Moral 1995; Kulendran and King 1997; Chu 1998; Preez and Witt 2003).”
Modeling tourism: A fully identified VECM approach (2009, methodology): “When system approaches are used (for example Dritsakis, 2004; Gangnes & Bonham, 1998; Kulendran & King, 1997; Kulendran & Witt, 2001, 2003; Lim & McAleer, 2001; Song & Witt, 2003), identification is obtained exclusively using Johansen’s reduced rank regression technique, and identified…”
Modelling and Forecasting Australian Domestic Tourism (2006, background): “González and Moral (1996), Kulendran and King (1997) and Kulendran and Witt (2001) only consider basic structural models (often referred to as the non-causal model as it does not include any explanatory variables).”
Tourism forecasting: accuracy of alternative econometric models (2003, methodology): “However, the application of the TVP data, whereas Kulendran and King (1997) and method to tourism has been rare (but see Riddington, Kulendran and Witt (2001) used quarterly data.”
25 years of time series forecasting (2006, background): “Noakes et al. (1985), Albertson & Aylen (1996), Kulendran & King (1997) and Franses & van Dijk (2005) each compared the forecast performance of several seasonal models applied to real data.”
Time Series Forecasts of International Travel Demand for Australia (2002, background): “The literature on international tourism demand forecasting, based on different univariate time series forecasting methods (see, for example, Geurts and Ibrahim, 1975; Choy, 1984; van Doorn, 1984; Martin and Witt, 1989; Chan, 1993; Witt et al., 1994; Turner et al., 1995, 1997; Frechtling, 1996; Kulen”
Bayesian models for tourism demand forecasting. (2006, methodology): “(1989), Sheldon (1993), Kulendran and King (1997) and Kluendran and Witt (2001),”
Forecasting international tourist flows to Macau (2006, methodology): “In the studies by Lim and McAleer (2001, 2002), Kulendran and King (1997), and Song et al (2000, 2003a,b), the lagged dependent variable has been found to be an important factor that influences the demand for tourism, and its statistical significance suggests that consumer habitual behaviour and…”
25 Years of IIF Time Series Forecasting: A Selective Review (2005, background): “Noakes et al. (1985), Albertson & Aylen (1996), Kulendran & King (1997) and Franses & van Dijk (2005) each compared the forecast performance of several seasonal models applied to real data.”