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      Análisis espaciotemporal bayesiano de las remesas y la inclusión financiera en municipios de México Translated title: A Bayesian Spatial-temporal Analysis of Remittances And Financial Inclusion in Mexican Municipalities

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          Abstract

          Resumen El crecimiento continuado en el monto de las remesas enviadas por emigrantes mexicanos desde Estados Unidos revela la importancia de su estudio. El objetivo es analizar la distribución espaciotemporal de las remesas, así como cuantificar el efecto de la inclusión financiera en su distribución a lo largo de todos los municipios de México para el periodo 2015-2020. La metodología se sustenta en la implementación de una serie de modelos gaussianos latentes en competencia. Los resultados señalan que existe una relación importante entre inclusión financiera y las remesas per cápita recibidas a nivel municipal, donde el efecto de la vecindad geográfica es importante. La originalidad del trabajo radica en el uso de una metodología espacial bayesiana para el análisis de datos sobre remesas e inclusión financiera a nivel municipal.

          Translated abstract

          Abstract The continuing growth in remittances sent from the United States by Mexican emigrants reveals how important it is to study them. This article analyzes the spatial-temporal distribution of remittances and quantifies the effect of financial inclusion in their distribution in all Mexican municipalities between 2015 and 2020. The authors’ methodology is based on a series of latent Gaussian models for competition. Their results show that an important correlation exists between financial inclusion and per capita remittances received on a municipal level, where the effect of geographical proximity is important. This article’s originality lies in the use of a Bayesian spatial methodology for analyzing remittance and financial inclusion data on a municipal level.

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          Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations

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            Spatial Data Analysis withR-INLAwith Some Extensions

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              Spatio-temporal disease mapping using INLA

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                Author and article information

                Journal
                namerica
                Norteamérica
                Norteamérica
                Universidad Nacional Autónoma de México, Centro de Investigaciones sobre América del Norte (Ciudad de México, Ciudad de México, Mexico )
                1870-3550
                2448-7228
                December 2021
                : 16
                : 2
                : 99-120
                Affiliations
                [2] orgnameUniversidad Autónoma de Chiapas Mexico jorge.lopez@ 123456unach.mx
                [1] orgnameEl Colegio de la Frontera Norte orgdiv1Departamento de Estudios de Población gnunez@ 123456colef.mx
                Article
                S1870-35502021000200099 S1870-3550(21)01600200099
                10.22201/cisan.24487228e.2021.2.476
                b4363841-c819-4146-8eae-f2b88c2bf8a8

                This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

                History
                : 27 August 2021
                : 21 March 2021
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 23, Pages: 22
                Product

                SciELO Mexico

                Categories
                Ensayos

                migration,migración,Akaike,latent Gaussian models,R-INLA,modelos gaussianos latentes

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