Advanced Search
MyIDEAS: Login to save this paper or follow this series

A Dynamic Correlation Approach of the Swiss Tourism Income

Contents:

Author Info

  • Leon, Costas
  • Eeckels, Bruno

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.

Download Info

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
File URL: http://mpra.ub.uni-muenchen.de/15215/
File Function: original version
Download Restriction: no

Bibliographic Info

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

as in new window
Length:
Date of creation: 13 May 2009
Date of revision:
Handle: RePEc:pra:mprapa:15215

Contact details of provider:
Postal: Schackstr. 4, D-80539 Munich, Germany
Phone: +49-(0)89-2180-2219
Fax: +49-(0)89-2180-3900
Web page: http://mpra.ub.uni-muenchen.de
More information through EDIRC

Related research

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

Find related papers by JEL classification:

This paper has been announced in the following NEP Reports:

References

References listed on IDEAS
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.:
as in new window
  1. Christophe Croux & Mario Forni & Lucrezia Reichlin, 2001. "A measure of co-movement for economic variables: theory and empirics," ULB Institutional Repository 2013/10139, ULB -- Universite Libre de Bruxelles.
  2. Daniel Levy & Hashem Dezhbakhsh, 2002. "On the Typical Spectral Shape of an Economic Variable," Working Papers 2002-16, Bar-Ilan University, Department of Economics.
  3. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
  4. Favero, Carlo A., 2001. "Applied Macroeconometrics," OUP Catalogue, Oxford University Press, Oxford University Press, number 9780198296850, October.
  5. Jacint Balaguer & Manuel Cantavella-Jorda, 2002. "Tourism as a long-run economic growth factor: the Spanish case," Applied Economics, Taylor & Francis Journals, Taylor & Francis Journals, vol. 34(7), pages 877-884.
  6. Alessandra Iacobucci, 2003. "Spectral Analysis for Economic Time Series," Documents de Travail de l'OFCE, Observatoire Francais des Conjonctures Economiques (OFCE) 2003-07, Observatoire Francais des Conjonctures Economiques (OFCE).
  7. Johansen, Soren & Juselius, Katarina, 1994. "Identification of the long-run and the short-run structure an application to the ISLM model," Journal of Econometrics, Elsevier, Elsevier, vol. 63(1), pages 7-36, July.
  8. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, Econometric Society, vol. 50(4), pages 987-1007, July.
  9. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, Elsevier, vol. 12(2-3), pages 231-254.
  10. Bruno Parnisari, 2000. "Does Switzerland share common business cylces with other European countries?," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), Swiss Society of Economics and Statistics (SSES), vol. 136(I), pages 45-78, March.
  11. Robert J. Hodrick & Edward Prescott, 1981. "Post-War U.S. Business Cycles: An Empirical Investigation," Discussion Papers, Northwestern University, Center for Mathematical Studies in Economics and Management Science 451, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
  12. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, Econometric Society, vol. 48(1), pages 1-48, January.
  13. Mackinnon, J.G. & Haug, A.A. & Michelis, L., 1996. "Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration," G.R.E.Q.A.M., Universite Aix-Marseille III 96a09, Universite Aix-Marseille III.
  14. Andreas Papatheodorou, 1999. "The demand for international tourism in the Mediterranean region," Applied Economics, Taylor & Francis Journals, Taylor & Francis Journals, vol. 31(5), pages 619-630.
  15. Marianne Baxter & Robert G. King, 1999. "Measuring Business Cycles: Approximate Band-Pass Filters For Economic Time Series," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 575-593, November.
  16. Granger, C.W.J. & Watson, Mark W., 1984. "Time series and spectral methods in econometrics," Handbook of Econometrics, Elsevier, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 17, pages 979-1022 Elsevier.
Full references (including those not matched with items on IDEAS)

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as in new window

Cited by:
  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.

Lists

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:15215. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ekkehart Schlicht).

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.