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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
de Sousa-Vale, S. & de Mello-Sampayo, F. (2010). Tourism and growth in European countries: an application of likelihood-based panel cointegration. International Conference of the ERCIM WG on  COMPUTING & STATISTICS (ERCIM'10) .
Exportar Referência (IEEE) 
S. D. Vale and F. D. Sampayo,  "Tourism and growth in European countries: an application of likelihood-based panel cointegration", in Int. Conf. of the ERCIM WG on  COMPUTING & STATISTICS (ERCIM'10) , London, 2010
Exportar BibTeX 
@misc{vale2010_1715035727653,
	author = "de Sousa-Vale, S. and de Mello-Sampayo, F.",
	title = "Tourism and growth in European countries: an application of likelihood-based panel cointegration",
	year = "2010",
	howpublished = "Digital",
	url = "http://www.cfe-csda.org/cfe10/LondonBoA.pdf"
}
Exportar RIS 
TY  - CPAPER
TI  - Tourism and growth in European countries: an application of likelihood-based panel cointegration
T2  - International Conference of the ERCIM WG on  COMPUTING & STATISTICS (ERCIM'10) 
AU  - de Sousa-Vale, S.
AU  - de Mello-Sampayo, F.
PY  - 2010
CY  - London
UR  - http://www.cfe-csda.org/cfe10/LondonBoA.pdf
AB  - The tourism and economic growth relationship is investigated for a panel of European countries over the period 1988-2010. The results reveal that
the variables contain a panel unit root and they cointegrate in a panel perspective. The findings show that tourism enhance economic growth for
some countries in the sample. The paper is organized as follows: first, we present a simple theoretical model, then we describe the sources of data
and report our panel test results for unit roots, cointegration and ranks. Finally, we discuss the long run relationship equilibrium taking into account
the cross dependence within the panel to conclude that tourism is important for economic growth but with a smaller magnitude than expected.

ER  -