In the framework of clustering, the usual aim is to cluster observations and not variables. However the issue of variable clustering clearly appears for dimension reduction, selection of variables or in some case studies (sensory analysis, biochemistry, marketing, etc.). Clustering of variables...

Distributive analysis typically involves comparisons of heterogeneous distributions where\r\nindividuals differ in more than just one attribute. In the particular case where there are two\r\nattributes and where the distribution of one of these two attributes is fixed, one can appeal\r\nto...

This paper offers a theoretical and empirical modeling for ecosystem-based fishery management (EBFM). A multi-species and multi-fleets model integrating Lokta-Volterra trophic dynamics and profit functions is developed for the coastal fishery of French Guiana. This small-case fishery constitutes...

Generally, in the standard presentation of the expected utility model, the risk premium represents how much a risk-averse decision maker is ready to pay to have a risk eliminated. Here, however, we introduce a different risk premium: how much should a risk (which could be the return on a...

In this note, we discuss the existence of anonymous and balanced mechanisms to implement the Lindahl allocations. We obtain an impossibility result for the class of mechanisms defining an homeomorphism between the message space and the allocation space.

In this paper, we build a structural model of growth and we estimate it on panel data. We go further than the previous studies of Bende et al. (2000, 2003) or Li & Liu (2005), because we not only control for the endogenity of FDI towards growth, but we also control for the endogenity of FDI...

This paper is part of an investigation to evaluate the benefits of landscape policies. Such policies are, within a specific area (here the Monts d’Arrée in Brittany), favouring some landscape attributes. We test out a procedure based on a double device. The first one relies on the choice...