Living conditions: classification of households using the Kohonen algorithm

Sophie Ponthieux (1) , Marie Cottrell (2, 3)

1 Institut national de la statistique et des études économiques (INSEE)
2 SAMOS - Statistique Appliquée et MOdélisation Stochastique
3 MATISSE - UMR 8595 - Modélisation Appliquée, Trajectoires Institutionnelles et Stratégies Socio-Économiques

In the analysis of poverty and social exclusion, indicators of living conditions are some interesting non-monetary complements to the usual measurements in terms of current or annual income. Living conditions depend in fact on longer term factors than income, and provide further information on households' actual resources that allow to compare more accurately between living standards. But in counterpart, a difficulty comes from the qualitative nature of the information, and the large number of dimensions and items that may be taken into account; in other words, living conditions are difficult to “measure”. A consequence is that very often, the information is either used only partly, or reduced into a global score of (bad) living conditions, that results from counting “negative” items, and the qualitative dimension is lost. In this paper, we propose to use the Kohonen algorithm first to describe how the elements of living conditions are combined, and secondly to classify households according to their living conditions. The main interest of a classification is to make appear not only quantitative differences in the “levels” of living conditions, but also qualitative differences within similar “levels”.

Mots clés: Kohonen maps; Living conditions

Domaines: Statistiques [math.ST]; Economies et finances

Sophie Ponthieux, Marie Cottrell. Living conditions: classification of households using the Kohonen algorithm. European Journal of Economic and Social Systems, 2001, 15 n°2, pp.69-84. ⟨hal-00133837⟩