Non-linear models of disability and age applied to census data

Irene Albarrán (), Pablo Alonso González () and Juan Miguel Marín ()

Statistics and Econometrics Working Papers from Universidad Carlos III, Departamento de Estadística y Econometría

Abstract: It is usually considered that the proportion of handicapped people grows with age. Namely, the older the man/woman is, the more level of disability he/she suffers. However, empirical evidence shows that this assessment is not always true, or at least, it is not true in the Spanish population. This study tries to assess the impact of age on disability in Spain. It is divided into three different parts. The first one is focused in describing the way disability is measured in this work. We used a former index defined by the authors that distinguishes between men and women. The second one is focused in a literature review about the methods used in this paper. This section emphasizes on local regression, feed forward neural networks and BARS. Finally, in the last section estimations are undertaken. Several methods are used and, therefore, there are fairly differences in the results, not only among the methodologies, but also between genders.

Keywords: Disability; Local estimation; Splines; Neural networks; BARS (search for similar items in EconPapers)
JEL-codes: C10 C11 C45 C50 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-age, nep-cmp and nep-hea
Date: 2010-05
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Persistent link: http://EconPapers.repec.org/RePEc:cte:wsrepe:ws102410

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