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Please use this identifier to cite or link to this item: http://hdl.handle.net/10016/8232

Google™ Scholar. Others By: Albarrán, Irene - Alonso, Pablo J. - Marín, J. Miguel
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Title: Non-linear models of disability and age applied to census data
Author(s): Albarrán, Irene
Alonso, Pablo J.
Marín, J. Miguel
Publisher: Universidad Carlos III de Madrid. Departamento de Estadística
Issued date: 2010
URI: http://hdl.handle.net/10016/8232
http://hdl.handle.net/10016/8232
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.
Serie / Nº.: UC3M Working papers. Statistics and Econometrics
10-10
Keywords: Disability
Local estimation
Splines
Neural networks
BARS
JEL Classification: C10
C11
C45
C50
Appears in Collections:DES - Working Papers. Statistics and Econometrics. WS

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