Suchergebnisse

This paper analyses technical efficiency of football clubs in the Spanish Football League Division 1 (Primera Liga) from the seasons 1995/96-2004/05 with an unbalanced panel data. The random frontier model is used allowing the identification of random variables in the cost frontier. It is concluded that the price of capital-investment, the number of points won and attendance are heterogeneous variables. Therefore, no common public policy aiming to improve efficiency can embrace all of the clubs, so that policies by clusters are required.

In this paper I discuss the specification of self-selection models with random parameters. I demostrate that in a self-selection model, misspecification of the parameter structure as constant causes blased estimates, and the direction of the bias leads to an under-estimation of the selectivity effect. I estimate a self-selection model of moonlighting with random parameters and find that: the selectivity effect, which was almost absent in the constant parameter version of the model, is indeed significant.