MIGRATION NETWORKS AND RETURN EXPECTATIONS THE CASE OF ROMANIANS IN SPAIN
Published In: 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL SCIENCE, MANAGEMENT AND HUMAN BEHAVIOUR
Author(s): AMPARO MASET-LLAUDES , ILUMINADA FUERTES
Abstract: In recent years, studies concerning interpersonal relations and their various implications are increasingly being taken as a basis for analysing the migration process, to determine the nature and impacts of migratory networks on immigrants' socio-economic situation in their country of origin and in the host society. The existence or absence of social networks as well as the nature of ties (closed or open) are considered key factors in the success or failure of an immigrant’s life project and expectations of returning home. This paper explores the relationship between social capital accrued by migrations networks and expected return. The analysis is based on two types of social capital: bridging and bonding. A sample of Romanian immigrants in the region of Castellon was surveyed on a number of variables. Study results show that immigrants' expectations of return are negatively related to social capital at the place of destination, suggesting that when immigrants build bridging and bondi
- Publication Date: 26-Oct-2014
- DOI: 10.15224/978-1-63248-032-3-117
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PROBABILITY AND PERTINENCE
Published In: 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN SOCIAL SCIENCE, MANAGEMENT AND HUMAN BEHAVIOUR
Author(s): ADELA BAHO , ALAIN RUTTIENS
Abstract: In our today culture, the availability of a quantitative measure is highly comforting, without to speak about the opportunity that such a quantitative measure represents within the framework of developing quantitative, descriptive models, in the financial, economic or any other field. However, one should be wary about the comfort of a quantitative measure, which may be fallacious in some cases, to the extent that it could seriously affect some decision/management process. In this paper, we are concerned with a specific subset of quantitative measures, namely, probability measures, in the particular case of (very) low probabilities. This paper is about the pertinence of such a (very) low probability measure: to what extent is this measure pertinent, with respect to its use, in financial, or, more generally, economic decisions? We propose a quantitative measure of this degree of pertinence, and apply it to an example of Value-at-Risk calculation.
- Publication Date: 26-Oct-2014
- DOI: 10.15224/978-1-63248-032-3-118
- Views: 0
- Downloads: 0