10 research outputs found

    Tests for the consistency of three-level nested logit models with utility maximization.

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    This paper provides necessary conditions for testing the local consistency of three-level nested logit models with random utility maximization. We find that for a model with two sub-nests per nest the conditions can lead to a substantial increase in the range of acceptable dissimilarity parameters, irrespective of the number of alternatives per sub-nest.Nested logit, Discrete choice, Random utility maximization

    Cooperative R&D with Endogenous Technology Differentiation

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    The choice of a particular technology when there is a set of them available to firms has not appeared in the R&D literature yet. We show some examples and present a model in which firms choose their technologies from a continuum of available profiles and the resulting spillovers depend on the compatibility among firms' R&D technologies. Our results indicate that non-cooperating firms are interested in using the same or very similar technologies. Therefore firms seek to establish coordination mechanisms such as patent pools or Research Joint Ventures. A RJV leads to higher levels of social welfare than patent pools or the non-cooperative case.r&d rjv patent pools cooperation

    Public Policy towards R&D in a Mixed Duopoly with Spillovers

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    We investigate the use of subsidies to R&D, both in a mixed and a private duopoly market. We show that the socially optimal R&D subsidy is positive and increasing in the degree of spillovers both in the private and the mixed duopoly, although it is lower for the former than for the latter. We also find support for the empirical claim that privatization is followed by a scaling down of the R&D activity. A comparative static analysis of welfare levels suggests that privatization is welfare detrimental, which lends some support to the views against the widespread adoption of privatization programs.mixed duopoly, process innovation, R&D subsidies, privatisation, spillovers.

    R&D policy and privatization in a mixed oligopoly

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    We introduce R&D activity and R&D subsidies in the context of a mixed oligopoly and evaluate the effects of privatization on welfare. We show that when R&D subsidies are employed, privatization is welfare and R&D promoting provided that the number of competitors is sufficiently large.mixed oligopoly, process innovation, R&D subsidy, privatization.

    CIBERER : Spanish national network for research on rare diseases: A highly productive collaborative initiative

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    Altres ajuts: Instituto de Salud Carlos III (ISCIII); Ministerio de Ciencia e Innovación.CIBER (Center for Biomedical Network Research; Centro de Investigación Biomédica En Red) is a public national consortium created in 2006 under the umbrella of the Spanish National Institute of Health Carlos III (ISCIII). This innovative research structure comprises 11 different specific areas dedicated to the main public health priorities in the National Health System. CIBERER, the thematic area of CIBER focused on rare diseases (RDs) currently consists of 75 research groups belonging to universities, research centers, and hospitals of the entire country. CIBERER's mission is to be a center prioritizing and favoring collaboration and cooperation between biomedical and clinical research groups, with special emphasis on the aspects of genetic, molecular, biochemical, and cellular research of RDs. This research is the basis for providing new tools for the diagnosis and therapy of low-prevalence diseases, in line with the International Rare Diseases Research Consortium (IRDiRC) objectives, thus favoring translational research between the scientific environment of the laboratory and the clinical setting of health centers. In this article, we intend to review CIBERER's 15-year journey and summarize the main results obtained in terms of internationalization, scientific production, contributions toward the discovery of new therapies and novel genes associated to diseases, cooperation with patients' associations and many other topics related to RD research

    Comparison of three algorithms in the classification of table olives by means of computer vision

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    The classification of table olive in different quality categories is performed depending on the defects in the surface of the fruits. However, the characteristics of every category are not defined. Then, it is necessary to apply learning algorithms that allow the extraction of quality information from batches previously classified by expert workers. In this research, a colorimetric characterisation of the more common defects has been carried out. An image analysis system has been used to segment the parameter set with the information from the olives quality. Three different algorithms have been applied to classify the olives in four quality categories. The results show that a neural network with a hidden layer is able to classify the olives with an accuracy of over 90%, while partial least squares discriminant and Mahalanobis distance are over 70%. (C) 2003 Elsevier Ltd. All rights reserved

    An Overview of Research on Gender in Spanish Society

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