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Multidimensional housing deprivation indices with application to Spain

[Zeitschriftenartikel]

Navarro Ruiz, Carolina; Ayala, Luis

Zitationshinweis

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Abstract The main aim of this paper is to defining a multidimensional housing deprivation index and identifying the main determining characteristics of this phenomenon, using Spain as reference. A latent variable model is used in order to overcome some of the traditional difficulties encountered in multidimensional deprivation studies. The construction of a latent structure model has allowed a set of partial housing deprivation indices to be grouped together under a single index. It has also enabled each individual to be assigned to a different class depending on the level and type of deprivation. Results show that the vector of observed variables (having hot running water, heating, a leaky roof, damp walls or floor, rot in window frames and floors, and overcrowding) and the correlations among such variables can be explained by a single latent variable. There are also specific characteristics that differentiate the population affected by housing deprivation.
Thesaurusschlagwörter deprivation
Klassifikation Sozialpolitik; soziale Probleme
Freie Schlagwörter housing; poverty; latent class models
Sprache Dokument Englisch
Publikationsjahr 2008
Seitenangabe S. 597-611
Zeitschriftentitel Applied Economics, 40 (2008) 5
DOI http://dx.doi.org/10.1080/00036840600722323
Status Postprint; begutachtet (peer reviewed)
Lizenz PEER Licence Agreement (applicable only to documents from PEER project)
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