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dc.contributor.authorLillo-Viedma, Felipe
dc.contributor.authorMolina-Garay, José A.
dc.date.accessioned2019-05-17T14:49:59Z
dc.date.available2019-05-17T14:49:59Z
dc.date.issued2019
dc.identifier.urihttp://repositorio.ucm.cl/handle/ucm/2100
dc.description.abstractRemittances are flows of money between immigrants and their relatives. A scarcely addressed topic related to human migration is the application of Network Flow Analysis (NFA) in the study of remittances. This study provides both a theoretical and empirical macro-level study of worldwide remittance flows. Theoretically, a remittance model used by the World Bank is probabilistically analyzed and useful probability bounds are derived. Empirically, a weighted graph model built from World Bank data delivers important insight on the remittance generative process, the highest remittance flow values and inflow–outflow remittance variations. This manuscript concludes by postulating that remittances potentially result from a multiplicative process and that techniques based on NFA provide novel ways of approaching remittance dynamics problems.es_CL
dc.language.isoenes_CL
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Chile*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/*
dc.sourceThe Journal of Mathematical Sociology, 43(2), 59-75es_CL
dc.subjectHuman migrationes_CL
dc.subjectNetwork flow analysises_CL
dc.subjectRemittance networkes_CL
dc.titleThe global remittance network: An inflow and outflow analysises_CL
dc.typeArticlees_CL
dc.ucm.facultadFacultad de Ciencias Sociales y Económicases_CL
dc.ucm.indexacionScopuses_CL
dc.ucm.indexacionIsies_CL
dc.ucm.uriwww.tandfonline.com/doi/abs/10.1080/0022250X.2018.1496917es_CL
dc.ucm.doidoi.org/10.1080/0022250X.2018.1496917es_CL


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