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Multidimensional housing deprivation indices with application to Spain
[journal article]
Navarro Ruiz, Carolina; Ayala, Luis
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Please use the following Persistent Identifier (PID) to cite this document:http://nbn-resolving.de/urn:nbn:de:0168-ssoar-240315
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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. |
| Classification | Social Policy; Social Problems |
| Free Keywords | housing; deprivation; poverty; latent class models |
| Document language | English |
| Publication Year | 2008 |
| Page/Pages | p. 597-611 |
| Journal | Applied Economics, 40 (2008) 5 |
| DOI | http://dx.doi.org/10.1080/00036840600722323 |
| Status | Postprint; reviewed |
| Licence | PEER Licence Agreement (applicable only to documents from PEER project) |
| Document Type | journal article |
