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%T Multidimensional housing deprivation indices with application to Spain %A Navarro Ruiz, Carolina %A Ayala, Luis %J Applied Economics %N 5 %P 597-611 %V 40 %D 2008 %K housing; poverty; latent class models %= 2011-04-15T15:32:00Z %~ http://www.peerproject.eu/ %> https://nbn-resolving.org/urn:nbn:de:0168-ssoar-240315 %X 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. %C USA %G en %9 journal article %W GESIS - http://www.gesis.org %~ SSOAR - http://www.ssoar.info