Notre étude a pour objectif de mesurer les effets spatiaux des externalités de connaissances sur la production de brevets des firmes, au niveau des villes. Nous utilisons une méthode originale basée sur le maximum d'entropie généralisé. Cette méthode permet de tester l'auto-correlation...

We propose a generic algorithm for numerically accurate likelihood evaluation of a broad class of spatial models characterized by a high-dimensional latent Gaussian process and non-Gaussian response variables. The class of models under consideration includes specifications for discrete choices,...

The aim of this paper is two-fold: (a) to establish a 'map' for describing the wide class of Limited Dependent Variables (LDV) univariate and multivariate models in the econometric literature and (b) to localize typical models in this tradition within the structure, extending typologies of...

A generalization of the Probit model is presented, with the extended skew-normal cumulative distribution as a link function, which can be used for modelling a binary response variable in the presence of selectivity bias. The estimate of the parameters via ML is addressed, and inference on the...

The aim of this paper is two-fold: (a) to establish a ‘map’ for describing the wide class of Limited Dependent Variables (LDV) univariate and multivariate models in the econometric literature and (b) to localize typical models in this tradition within the structure, extending typologies of...

In theory, innovation processes lie behind the evolution of national systems as they create interacting dynamics among organisations. Institutions and policies are considered means for influencing these interactive dynamics, such as shifting innovative focus from traditional to environmentally...

In the last few decades, the study of ordinal data in which the variable of interest is not exactly observed but only known to be in a specific ordinal category has become important. In Psychometrics such variables are analysed under the heading of item response models (IRM). In Econometrics,...

In the last few decades, the study of ordinal data in which the variable of interest is not exactly observed but only known to be in a specific ordinal category has become important. In Psychometrics such variables are analysed under the heading of item response models (IRM). In Econometrics,...

This paper proposes a novel two-stage approach to modeling health-related quality-of-life (HRQoL) outcomes. The approach allows a patient-centered interpretation by estimating regression coe fficients based on the multi-dimensional HRQoL profi le, but maintains the parsimony of the...