Estimación, con efectos espaciales, de los determinantes de la calidad de vida de los hogares de medellín

Detalles del proyecto

Descripción

The study of the determinants of subjective well-being or quality of life (cv) is a current issue in the social sciences, due to the implications that these studies have for the design and evaluation of social and economic policies. traditionally, the role played by some personal characteristics such as income, wealth, educational level or family situation in the determination of qol has been highlighted. however, the most recent studies of happiness highlight that social comparisons and other environmental variables are key determinants to explain qol. for this reason, this work has the purpose of analyzing the determinants of the cv of the homes of the city of medellín considering, in addition to the traditional variables, the spatial effects of these variables,and a spatial analysis will be carried out from a double perspective. on the one hand, we will consider that the reference group with which a person is compared is formed by their neighbors. on the other hand, we will study the spatial variation (heterogeneity) of the factors that explain qol. this approach would be novel since only the temporal part has been addressed in happiness studies, and the spatial effects of the variables that determine subjective well-being, would give us a new focus. the use of spatial and geostatistical econometric methods, the implementation of technological tools and geographic information systems (gis), would facilitate the mapping of the generated results, allowing to visualize the spatial pattern of the strength of each variable in the model.we will consider that the reference group with which a person is compared is formed by their neighbors. on the other hand, we will study the spatial variation (heterogeneity) of the factors that explain qol. this approach would be novel since only the temporal part has been addressed in happiness studies, and the spatial effects of the variables that determine subjective well-being, would give us a new focus. the use of spatial and geostatistical econometric methods, the implementation of technological tools and geographic information systems (gis), would facilitate the mapping of the generated results, allowing to visualize the spatial pattern of the strength of each variable in the model.we will consider that the reference group with which a person is compared is formed by their neighbors. on the other hand, we will study the spatial variation (heterogeneity) of the factors that explain qol. this approach would be novel since only the temporal part has been addressed in happiness studies, and the spatial effects of the variables that determine subjective well-being, would give us a new focus. the use of spatial and geostatistical econometric methods, the implementation of technological tools and geographic information systems (gis), would facilitate the mapping of the generated results, allowing to visualize the spatial pattern of the strength of each variable in the model.the spatial variation (heterogeneity) of the factors that explain qol will be studied. this approach would be novel since only the temporal part has been addressed in happiness studies, and the spatial effects of the variables that determine subjective well-being, would give us a new focus. the use of spatial and geostatistical econometric methods, the implementation of technological tools and geographic information systems (gis), would facilitate the mapping of the generated results, allowing to visualize the spatial pattern of the strength of each variable in the model.the spatial variation (heterogeneity) of the factors that explain qol will be studied. this approach would be novel since only the temporal part has been addressed in happiness studies, and the spatial effects of the variables that determine subjective well-being, would give us a new focus. the use of spatial and geostatistical econometric methods, the implementation of technological tools and geographic information systems (gis), would facilitate the mapping of the generated results, allowing to visualize the spatial pattern of the strength of each variable in the model.the use of spatial and geostatistical econometric methods, the implementation of technological tools and geographic information systems (gis), would facilitate the mapping of the generated results, allowing to visualize the spatial pattern of the strength of each variable in the model.the use of spatial and geostatistical econometric methods, the implementation of technological tools and geographic information systems (gis), would facilitate the mapping of the generated results, allowing to visualize the spatial pattern of the strength of each variable in the model.

Objetivo

Analizar los determinantes de la calidad de vida percibida de los hogares de la ciudad de medellín considerando, además de las variables tradicionales, los efectos espaciales de estas variables.

Resultados esperados

Un artículo sometido. análisis con detalle del peso de cada uno de los factores y las zonas donde éstos se relacionan con mayor significancia con la cv. incluido el espacio como componente fundamental a la hora del análisis de sus determinantes. la modelización y el análisis de la variación espacial (heterogeneidad) de los factores que explican la cv de los hogares de la ciudad de medellín usando modelos espaciales geográficamente ponderados. ventaja: implementación de los sistemas de información geográfica (sig).
EstadoFinalizado
Fecha de inicio / finalización efectiva16/01/1731/01/18

Huella digital

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