Exchange Rate Volatility and Cointegration in Tourism Demand

By A. Webber. 2001

178 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/78444be1d65238f46b8116334f2977b3a2082643

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Citations in the corpus

Tourism and Trade: Cointegration and Granger Causality Tests (2005, background): “Webber (2000) elegantly examined possible cointegrations between exchange rate volatility and tourism demand.”
A Meta-Analysis of International Tourism Demand Elasticities (2013, background): “…often used to adjust relative prices or may be included in the demand model as a separate variable on the basis that tourists may display different sensitivities to actual price changes versus variations in exchange rates (Webber 2001; Croes and Vanegas 2005; Mangion, Durbarry, and Sinclair 2005).”
Forecasting international tourist flows to Macau (2006, unknown): “Such studies include De Mello et al (2002), Dritsakis (2003), Huybers (2003), Kulendran and Witt (2001, 2003), Lim and McAleer (2001, 2002), Morley (2000), Papatheodorou (2001), Song et al (2000, 2003a, b), and Webber (2001).”
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).”
The long-run impact of exchange rate regimes on international tourism flows (2014, background): “Alongside other economic and social determinants, an exchange rate variable, in some form, is consistently used in modeling tourism demand (see, inter alia, Bond, Cohen, & Schachter, 1977; Dritsakis & Gialetaki, 2004; Quadri & Zheng, 2010; Webber, 2001; Yap, 2011) and typically found to have explana”
Global trends in length of stay: implications for destination management and climate change (2018, background): “…with the development of low cost travel (Dobruszkes, 2013; Dobruszkes, Givoni, & Vowles, 2017); currency exchange rate changes (Santana-Gallego, Ledesma-Rodr ıguez, & P erez-Rodr ıguez, 2010; Webber, 2001); or risk and security perceptions (Deng & Ritchie, 2018; S€onmez, 1998) may all affect LOS.”
Asymmetric impact of oil prices, exchange rate, and inflation on tourism demand in Pakistan: new evidence from nonlinear ARDL (2018, result): “Our result is consistent with Webber (2001) as he claimed that in 50% of the estimates of tourism demand, it is found that the exchange rate change affects tourism demand significantly.”