Persona: Ayala Cañón, Luis
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0000-0002-3141-827X
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Ayala Cañón
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Luis
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Publicación Cross-country income mobility comparisons under panel attrition: the relevance of weighting schemes(Routledge. Taylor & Francis Group, 2011) Sastre, Mercedes; Ayala Cañón, Luis; Navarro Ruiz, CarolinaThis article aims to present an assessment of the effects of panel attrition on income mobility comparisons for some EU-countries by using the European Community Household Panel (ECHP). There are different possibilities of correcting the attrition problem by means of alternative longitudinal weighting schemes. The sensitivity of mobility estimates to these attrition correction procedures is tested in the paper. Our results show that ECHP attrition is characterised by a certain degree of selectivity but only affecting some variables and countries. Different probability models corroborate the existence of a certain non-random attrition. The model chosen to construct the longitudinal weights to correct attrition offers up rather different results than those obtained when Eurostat’s longitudinal weights are used. Although attrition does not seem to have a great effect on aggregated mobility indicators, it does have a decisive effect on decomposition exercises. Our tests reveal certain sensitivity of income mobility measures to the weighting system used.Publicación Housing deprivation and health status: evidence from Spain(Springer, 2009) Navarro Ruiz, Carolina; Ayala Cañón, Luis; Labeaga Azcona, José MaríaLiving in inadequate housing conditions not only supposes a failure of a basic functioning. It also has effects on other essential aspects of well-being such as health. This study questions to what extent living in poor housing conditions can determine individuals’ health status once the possible influence of other factors is controlled for. By estimating a logistic model with individual effects and a housing deprivation index based on a latent variable model, we reach a number of relevant conclusions concerning the relationship between these two different dimensions of multidimensional well-being. We find a negative effect of housing deprivation on the individuals’ health, both when housing conditions are introduced in a disaggregated manner in the model and when they are combined in a latent variable.