Resumen

NUNEZ MEDINA, Gerardo  y  LOPEZ AREVALO, Jorge Alberto. A Bayesian Spatial-temporal Analysis of Remittances And Financial Inclusion in Mexican Municipalities. Norteamérica [online]. 2021, vol.16, n.2, pp.99-120.  Epub 04-Abr-2022. ISSN 2448-7228.  https://doi.org/10.22201/cisan.24487228e.2021.2.476.

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.

Palabras llave : latent Gaussian models; R-INLA; migration; Akaike.

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