Abstract
This paper presents a model for predicting the number of tourists entering Florida per time period by state of origin. The model developed is essentially a gravity interaction model of tourism flows. Data are cross-sectional by state of tourist origin from four years, 1964, 1965, 1967, and 1968. These particular years were chosen for analysis because they represent time periods for which tourist travel may be separately estimated by all modes, by automobile and by airplane.
Highlights
During recent years, population growth and increasing personal af fluence have led to a substantial rise in tourist travel
In order to determine the relative importance of independent variables in terms of explanatory power, beta coefficients as well as parameter estimates are presented.® Constancy of slope and intercept estimates between years is tested using a form of the method developed by Cbow.''^ as evidence of the degree of multicollinearity among independent variables, we present two measures
All parameter estimates for independent variables are significant at five per cent except that for the 1964 climate proxy
Summary
Population growth and increasing personal af fluence have led to a substantial rise in tourist travel. The model developed is essentially a gravity interaction model of tourism flows.^ Data are cross-sectional by state of tourist origin from four years, 1964, 1965, 1967, and 1968. These particular years were chosen for analysis because they represent time periods for which tourist travel may be separately estimated by all modes, by automobile and by airplane. In order to determine the relative importance of independent variables in terms of explanatory power, beta coefficients as well as parameter estimates are presented.® Constancy of slope and intercept estimates between years is tested using a form of the method developed by Cbow.''^ as evidence of the degree of multicollinearity among independent variables, we present two measures. Other states, regions, nations, or individual tourist facilities may find our results useful and adaptable for their own purposes
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