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A macro-economic model to forecast remittances based on Monte-Carlo simulation and artificial intelligence

Autores

GARCÍA ALONSO, CARLOS, Arenas-Arroyo E. , PÉREZ ALCALÁ, GABRIEL MARÍA

Publicación externa

No

Medio

Expert Syst. Appl.

Alcance

Article

Naturaleza

Científica

Cuartil JCR

Cuartil SJR

Impacto JCR

1.854

Impacto SJR

1.148

Fecha de publicacion

01/01/2012

ISI

000303281600035

Scopus Id

2-s2.0-84858338623

Abstract

A computer system based on Monte-Carlo simulation and fuzzy logic has been designed, developed and tested to: (i) identify covariates that influence remittances received in a specific country and (ii) explain their behavior throughout the time span involved. The resulting remittance model was designed theoretically, identifying the variables which determined remittances and their dependence relationships, and then developed into a computer cluster. This model aims to be global and is useful for assessing the long term evolution of remittances in scenarios where a rich country is the host (United States of America) while a poor country is the where the migrant is from (El Salvador). By changing the socio-economic characteristics of the countries involved, experts can analyze new socio-economic frameworks to obtain useful conclusions for decision-making processes involving development and sustainability. © 2012 Elsevier Ltd. All rights reserved.

Palabras clave

Computer clusters; Covariates; Decision making process; El Salvador; Macro-economic models; Monte Carlo simulation; Remittances; Socio-economics; Time span; United States of America; Bayesian networks; Economics; Fuzzy logic; Intelligent systems; Monte Carlo methods; Developing countries