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Analysis of correlations for monthly variables 

Analysis of correlations for monthly variables 

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There is a lack of studies on tourism demand in Catalonia. To fill the gap, this paper focuses on detecting the macroeconomic factors that determine tourism demand in Catalonia. We also analyse the relation between these factors and tourism demand. Despite the strong seasonal component and the outliers in the time series of some countries, overnigh...

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Context 1
... homogeneous information available for the main visitor countries and the main macroeconomic factors that determine tourism demand in Catalonia (see Tables 6 and 8) were used to analyse the degree of linear association between the selected dependent variables and tourism demand in Catalonia, by means of a correlations analysis. Tables 7 and 9 show the correlation coefficients for the relationship between each one of the selected exogenous variables and the corresponding endogenous variable (tourists or overnight stays) for each country. Significant correlation coefficients at 5% are indicated in bold. ...
Context 2
... the signs do not coincide there usually is a weak linear association. Tables 7 and 9 show how the correlations between overnight stays and the corresponding exogenous variables are higher than those obtained using the variation rate for the number of tourists. In addition, the correlations obtained using quarterly data are higher overall than those obtained with the monthly data. ...

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