Segregación de migrantes en una ciudad intermedia y sus consecuencias para superar la pobreza: el caso de Bahía Blanca, Argentina

CALLE CRISTINA Y.; PEREZ STELLA M.; LONDON SILVIA

Congreso; HCDA 2018 Conference; 2018

This paper performs an Exploratory Spatial Data Analysis (ESDA) of the link between poverty and migration at Bahia Blanca city, computing the Moran?s I indicator, which evidences the existence of spatial dependence, both global and local, such that the city shows a centre-periphery structure, specific area that exhibit higher proportions of migrants and poverty rates.This analysis has been augmented with econometric techniques, specifically estimating a Spatial Lag Regression Model and a Spatial error Regression Model, incorporating spatial dependence. A Geographycally Weighted Regression has also been implemented, which illustrates the existence of spatial heterogeneity. Results suggest that being a migrant has an increasing impact on the probability of being poor, but this impact is mediated by the location, with the city centre being a low poverty and migrant incidence area, and the periphery being the opposite.