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  • Understanding geographical perspective in explaining well-being is among the important issue in the subject. This study examines how nested and spatial structures explain variations in individual well-being across regions in Europe. We use the 2008 European Values Study, comprising 23,483 respondents residing in 200 regions (NUTS2) in Europe. Using spatial dependence multilevel model, the results show well-being to be spatially dependent through unobserved factors, meaning that well-being clusters because of clustering of unobserved factors. These findings suggest that addressing unobserved factors in neighbouring regions is an important issue for understanding individual well-being. (xsd:string)
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  • http://dx.doi.org/10.1016/j.apgeog.2013.12.005. (EVS) (xsd:string)
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  • EVS-Bibliography (xsd:string)
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  • 2014 (xsd:gyear)
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  • 2014 (xsd:gyear)
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  • 168 (xsd:string)
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  • Spatial dependence multilevel model of well-being across regions in Europe (xsd:string)
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  • article (xsd:string)
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  • Bibsonomy (xsd:string)
  • In Applied Geography, 47, 168-176, 2014 (xsd:string)
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  • European Values Study (EVS) (xsd:string)
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  • 2014 (xsd:string)
  • EVS (xsd:string)
  • EVS_input2015 (xsd:string)
  • EVS_pro (xsd:string)
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  • Multilevel_Model (xsd:string)
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  • Spatial_Dependence (xsd:string)
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  • 176 (xsd:string)
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  • 47 (xsd:string)