Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
The drivers of local income inequality: a spatial Bayesian model-averaging approach
This study analyzes the drivers of local income inequality in Spain. It derives a novel data set of inequality metrics for a sample of municipalities over the period 2000–06. Spatial Bayesian model selection and model-averaging techniques are used in order to examine the empirical relevance of (1) spatial functional forms, (2) spatial weight matrices and (3) a large set of factors that could affect inequality. The findings suggest that local inequality is mainly explained by human capital, economic factors and local politics. In addition, the use of Bayesian geographically weighted regressions provides evidence in favour of spatially heterogeneous effects.
The drivers of local income inequality: a spatial Bayesian model-averaging approach
This study analyzes the drivers of local income inequality in Spain. It derives a novel data set of inequality metrics for a sample of municipalities over the period 2000–06. Spatial Bayesian model selection and model-averaging techniques are used in order to examine the empirical relevance of (1) spatial functional forms, (2) spatial weight matrices and (3) a large set of factors that could affect inequality. The findings suggest that local inequality is mainly explained by human capital, economic factors and local politics. In addition, the use of Bayesian geographically weighted regressions provides evidence in favour of spatially heterogeneous effects.
The drivers of local income inequality: a spatial Bayesian model-averaging approach
Hortas-Rico, Miriam (Autor:in) / Rios, Vicente (Autor:in)
Regional Studies ; 53 ; 1207-1220
03.08.2019
14 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
income inequality , spatial econometrics , model averaging , Spanish cities , C11 , C15 , C21 , D31
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