The aim of this paper is to propose multidimensional measures of deprivation and wellbeing in contemporary Switzerland, in order to overcome the limitations of standard approaches. More precisely, we have developed self organising maps (SOM) using data drawn from the 2009 Swiss Household Panel wave, in order to identify highly homogeneous clusters of individuals characterized by distinct profiles across 44 indicators of deprivation and well-being. SOM is a vector quantiser that performs a topology-preserving mapping of the k-dimensional input data to a two-dimensional, rectangular grid of output units, preserving as much as possible the information contained in the original input data. ‘‘Topology-preserving’’ means that, when an SOM is properly developed, units that are close in the output space are also close in the input space. Our results suggest that the SOM approach could improve our understanding of complex and multidimensional phenomena, like those of well-being, deprivation, vulnerability, that show only a partial overlapping with standard income poverty measures

Lucchini, M., Assi, J. (2013). Mapping Patterns of Multiple Deprivation and Well-Being using Self-Organizing Maps: an Application to Swiss Household Panel Data. SOCIAL INDICATORS RESEARCH, 112(1), 129-149 [10.1007/s11205-012-0043-7].

Mapping Patterns of Multiple Deprivation and Well-Being using Self-Organizing Maps: an Application to Swiss Household Panel Data

LUCCHINI, MARIO;
2013

Abstract

The aim of this paper is to propose multidimensional measures of deprivation and wellbeing in contemporary Switzerland, in order to overcome the limitations of standard approaches. More precisely, we have developed self organising maps (SOM) using data drawn from the 2009 Swiss Household Panel wave, in order to identify highly homogeneous clusters of individuals characterized by distinct profiles across 44 indicators of deprivation and well-being. SOM is a vector quantiser that performs a topology-preserving mapping of the k-dimensional input data to a two-dimensional, rectangular grid of output units, preserving as much as possible the information contained in the original input data. ‘‘Topology-preserving’’ means that, when an SOM is properly developed, units that are close in the output space are also close in the input space. Our results suggest that the SOM approach could improve our understanding of complex and multidimensional phenomena, like those of well-being, deprivation, vulnerability, that show only a partial overlapping with standard income poverty measures
Articolo in rivista - Articolo scientifico
Well-being, Deprivation, Self-organizing map, Swiss Household Panel, Multidimensional measures
English
2013
112
1
129
149
none
Lucchini, M., Assi, J. (2013). Mapping Patterns of Multiple Deprivation and Well-Being using Self-Organizing Maps: an Application to Swiss Household Panel Data. SOCIAL INDICATORS RESEARCH, 112(1), 129-149 [10.1007/s11205-012-0043-7].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/44152
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