Variables related to the informal caregivers' burden of dependent senior citizens in Spain

The study aims at analyzing the psychosocial variables associated with the informal caregivers" burden of dependent older people. A sample of 296 dependent people and their informal caregivers (n= 153) was randomly selected among users and non-users of the Spanish public In-Home Help Service (HHS) in an autonomous Spanish region (Comunidad Valenciana). Diverse variables in reference to the care context and the caregiver as well as the care recipient show major associations with the burden: those associated to disease and the social situation of the dependent person, the greater frequency and intensity of care, and the low frequency in which the caregiver receives help from others. The obtained data makes possible to establish guidelines based on the psychological and educational interventions which relieve the informal caregivers" burden of dependent senior citizens, which must be combined with respite services, in order to promote the permanence of this population group in the community environment

The Continuous Sample of Working Lives: improving its representativeness

This paper studies the representativeness of the Continuous Sample of Working Lives (CSWL), a set of anonymized microdata containing information on individuals from Spanish Social Security records. We examine several CSWL waves (2005-2013) and show that it is not representative for the population with a pension income. We then develop a methodology to draw a large dataset from the CSWL that is much more representative of the retired population in terms of pension type, gender and age. This procedure also makes it possible for users to choose between goodness of fit and subsample size. In order to illustrate the practical significance of our methodology, the paper also contains an application in which we generate a large subsample distribution from the 2010 CSWL. The results are striking: with a very small reduction in the size of the original CSWL, we significantly reduce errors in estimating pension expenditure for 2010, with a p value greater or equal to 0.999