Multidimensional housing deprivation indices with application to Spain
AbstractThe main aim of this article is to define a multidimensional housing deprivation index and identify 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.
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Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Applied Economics.
Volume (Year): 40 (2008)
Issue (Month): 5 ()
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- Pérez-Mayo, Jesús, 2009. "Un análisis dinámico de la privación en España /A Dynamic Analysis of Deprivation for Spain," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 27, pages 501-522, Agosto.
- Agbodji, Akoete Ega & Batana, Yele Maweki & Ouedraogo, Denis, 2013. "Gender inequality in multidimensional welfare deprivation in west Africa : the case of Burkina Faso and Togo," Policy Research Working Paper Series 6522, The World Bank.
- Carolina Navarro & Luis Ayala & José Labeaga, 2010. "Housing deprivation and health status: evidence from Spain," Empirical Economics, Springer, vol. 38(3), pages 555-582, June.
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