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Title: GME discrete model with exogenous spatial effect variable for the job satisfaction Authors:  Enrico Ciavolino - University of Salento (Italy) [presenting]
Rossella Bernardini Papalia - University of Bologna (Italy)
Maurizio Carpita - University of Brescia (Italy)
Esteban Fernandez Vazquez - University of Oviedo (Spain)
Abstract: A discrete choice model with exogenous variables is proposed which takes into account spatial effect based on the Generalized Maximum Entropy (GME) estimator. The proposed model analyzes data coming from a survey devoted to measure the job satisfaction in the Italian social cooperatives, carried out on about 4000 workers over at the Italian provincial level. The objective is to describe and analyse the links between various work quality factors, taking into account the spatial effects and considering as outcome variable a discrete Likert scale. The GME is considered as estimator to deal with endogeneity and as flexible method to define the relationships between the variables of the model.