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Multidimensional housing deprivation indices with application to Spain

[journal article]

Navarro Ruiz, Carolina; Ayala, Luis

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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.
Keywords deprivation
Classification Social Policy; Social Problems
Free Keywords housing; poverty; latent class models
Document language English
Publication Year 2008
Page/Pages p. 597-611
Journal Applied Economics, 40 (2008) 5
Status Postprint; peer reviewed
Licence PEER Licence Agreement (applicable only to documents from PEER project)