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A Dynamic Correlation Approach of the Swiss Tourism Income

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Author Info
Leon, Costas
Eeckels, Bruno

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Abstract

We apply cross-spectral methods, dynamic correlation index of comovements and a VAR model to study the cyclical components of GDP and tourism income of Switzerland with annual data for the period 1980 – 2007. We find evidence of 4 dominant cycles for GDP and an average duration between 9 and 11 years. Tourism income is characterized by more cycles, giving an average cycle of about 8 years. There are also common cycles both in the typical business cycle and in the longer-run frequency bands. Lead / lag analysis shows that the two cyclical components are roughly synchronized. Simulations via a VAR model show that the maximum effect of 1% GDP shock on tourism income is higher than the maximum effect of 1% tourism income shock on GDP. The effects of these shocks last for about 12-14 years, although the major part of the shocks is absorbed within 5-6 years.

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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 15215.

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Date of creation: 13 May 2009
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Handle: RePEc:pra:mprapa:15215

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Related research
Keywords: Switzerland; Tourism Economics; Economic Fluctuations; Business Cycle; Spectral Analysis; Dynamic Correlation; VAR Models.;

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Find related papers by JEL classification:
C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Recreation; Tourism

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  3. Daniel Levy & Hashem Dezhbakhsh, 2003. "On the typical spectral shape of an economic variable," Applied Economics Letters, Taylor and Francis Journals, vol. 10(7), pages 417-423, May. [Downloadable!] (restricted)
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  4. Balaguer, Jacint & Cantavella-Jorda, Manuel, 2002. "Tourism As a Long-Run Economic Growth Factor: The Spanish Case," Applied Economics, Taylor and Francis Journals, vol. 34(7), pages 877-84, May. [Downloadable!] (restricted)
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  6. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254. [Downloadable!] (restricted)
  7. Granger, C.W.J. & Watson, Mark W., 1984. "Time series and spectral methods in econometrics," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 17, pages 979-1022 Elsevier. [Downloadable!] (restricted)
  8. Hodrick, Robert J & Prescott, Edward C, 1997. "Postwar U.S. Business Cycles: An Empirical Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(1), pages 1-16, February.
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  9. Papatheodorou, Andreas, 1999. "The Demand for International Tourism in the Mediterranean Region," Applied Economics, Taylor and Francis Journals, vol. 31(5), pages 619-30, May. [Downloadable!] (restricted)
  10. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July. [Downloadable!] (restricted)
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Beneki, Christina & Eeckels, Bruno & Leon, Costas, 2009. "Signal Extraction and Forecasting of the UK Tourism Income Time Series. A Singular Spectrum Analysis Approach," MPRA Paper 18354, University Library of Munich, Germany. [Downloadable!]
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