Cointegration analysis of German and British tourism demand for Greece

By Nikolaos Dritsakis. 2004

296 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/448c00c3bc5e1622f3522e310e653af6c95953a1

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In Economics and Econometrics

Citations in the corpus

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). Another advance in econometric forecasting refers to the TVP technique. The TVP model relaxes the constancy restriction on the parameters to be esti”
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…”
Determinants of Inbound Tourism to South Africa (2008, methodology): “Among single equation techniques, the most popular are log–linear and cointegration analyses (see, for example, Kulendran and Witt, 2001; Lim and McAleer, 2002; Dritsakis, 2004; Lim, 2004; Algieri, 2006).”
The Impact of 9/11 and Other Terrible Global Events on Tourism in the United States and Hawaii (2006, background): “Examples of applications in tourism-demand forecasting include Dritsakis (2004), Kulendran and Witt (2003), and Song, Witt, and Li (2003).”
Tourism demand for Italy and the business cycle (2010, background): “In the subsequent step, all the excluded variables are reintroduced one by one into the model, together with the inflation differential usually employed in tourism modelling (among others Dritsakis, 2004).”
Co-integration analysis of quarterly European tourism demand in Tunisia (2008, background): “If some linear combinations of these series are not integrated then another approach consists of using errorcorrection representations to model the dependant variable with the supposed cointegrated series (see Dritsakis, 2004; Kulendran & Witt, 2001; Lim & McAller, 2001).”
Examining the causal impacts of tourism, globalization, economic growth and carbon emissions in tourism island territories: bootstrap panel Granger causality analysis (2018, background): “Inflows of international tourists in the host country enhances other sectors (transportation and power sector among others) through increase in the consumption of socio-economic goods and services (Bieger & Wittmer, 2006; Chon, Guangrui, Lew, Ap, & Yu, 2013; Dritsakis, 2004).”
The determinants of inbound tourism to Malaysia: a panel data analysis (2017, methodology): “Prices and tourist income are the most commonly used variables to explain tourism demand (e.g. Algieri, 2006; Athanasopoulos & Hyndman, 2008; Dritsakis, 2004; Hanly & Wade, 2007; Han, Durbarry, & Sinclair, 2006; Kulendran & Divisekera, 2007; Kulendran & Witt, 2003; Li et al., 2005; Massida & Etzo,…”
Investigating the influence of tourism on economic growth and carbon emissions: Evidence from panel analysis of the European Union (2013, background): “…economic growth in the EU countries (Albalate & Bel, 2010; Holzner, 2011), in Eastern Europe (Hall, 1998), in Austria (Falk, 2010), in Greece (Dritsakis, 2004a,b), in Italy (Bernini, 2009), in Spain (Balaguer & Cantavella-Jordá, 2002) and in the United Kingdom (Blackstock, White, McCrum,…”
A meta-analysis of international tourism demand forecasting and implications for practice (2014, background): “The ECM and CI model are bi-directional transformations, which are useful when both long-run equilibrium and short-run disequilibrium relationships are of interest (Dritsakis, 2004; Choyakh, 2008; Halicioglu, 2010).”
A Meta-Analysis of International Tourism Demand Elasticities (2013, background): “Other less commonly used measures of income include real consumption per capita (Dritsakis 2004); superfluous income that is defined as real disposable income less expenditure on food, housing, fuel, and power (Edwards 1979); foreign travel budgets (Smeral and Witt 1996); industrial production…”
Time varying parameter and fixed parameter linear AIDS: An application to tourism demand forecasting (2006, background): “Dritsakis (2004) found the same evidence when he examined the demand for Greek tourism by UK residents.”