Cointegration analysis of quarterly tourism demand by Hong Kong and Singapore for Australia

By Christine Lim, Michael Mcaleer. 2001

162 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/86a9d909c83d1af9c1eaab5f2abab45911445b0b

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Citations in the corpus

Testing the efficacy of the economic policy uncertainty index on tourism demand in USMCA: Theory and evidence (2020, background): “Song et al. (2003) and Lim and Mcaleer (2001) used error correction models (ECMs) considering short-run dynamic characteristics of tourism demand.”
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).”
Tourism demand modelling and forecasting—A review of recent research (2008, methodology): “For example, ECM was used in the studies of Kulendran, and Wilson (2000), Kulendran and Witt (2003b), Lim and McAleer (2001), Song and Witt (2000).”
Tourism Demand Forecasting: A Time Varying Parameter Error Correction Model (2006, background): “Recent applications of other ECMs to tourism demand analysis include Dritsakis (2004), Lim and McAleer (2001, 2002), Narayan (2004), and Webber (2001).”
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): “…focus of Australian academic tourism research has been on international tourism (see, for example, Kulendran & King, 1997; Kulendran & Witt, 2003; Lim & McAleer, 2001a, 2002; Morley, 1998; Morris, Wilson, & Bakalis, 1995); worldwide tourism research has had a similar focus (see Li, Song, & Witt,…”
Forecasting international tourist flows to Macau (2006, background): “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…”