Based on previous research it can be stated that modelling sport economics related demand curves (e.g. demand for sport events and athletes) is different from other types of modelling. The difference lies in the fact that some parts of the demand curves are nearly horizontal in case of sport goods and nearly vertical in case of athletes, because the price of sport events is inflexible and at the same time, salaries of top athletes are extremely flexible. This study investigates parameter estimation methods appropriate for the relevant demand functions of sport economics. In this cases the generally used ordinary least squares estimator is less robust, so the weighted least squares estimators are able to handle heteroskedasticity. If the distribution of the variables is known, the Newey-West heteroscedasticity corrected estimates give even stronger results. The empirical study analyses footballer transfer fees in top European leagues and identifies a threshold at which the traditional supply-demand functions are not appropriate. According to the results, word class athletes, in a way, can be considered prestige goods for which demand may be irrational.
Road traffic flows on a straight road segment such as bridges are modelled in this article. The mathematical model of traffic flows has been constructed by using the method of lumped parameters. Changeable lane direction and road pricing has been theoretically investigated in order to understand the shifting in supply and/or demand curves of traffic participants in equilibrium. The article presents assumptions for constructing the mathematical model. Demand can be influenced by road pricing, in its turn, supply can be influenced by extension of infrastructure with reversible lanes.
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