Volltext herunterladen
(718.8 KB)
Zitationshinweis
Bitte beziehen Sie sich beim Zitieren dieses Dokumentes immer auf folgenden Persistent Identifier (PID):
https://nbn-resolving.org/urn:nbn:de:0168-ssoar-240315
Export für Ihre Literaturverwaltung
Multidimensional housing deprivation indices with application to Spain
[Zeitschriftenartikel]
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 multidime... mehr
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.... weniger
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
https://doi.org/10.1080/00036840600722323
Status
Postprint; begutachtet (peer reviewed)
Lizenz
PEER Licence Agreement (applicable only to documents from PEER project)