Title of article :
Nonlinear models of disability and age applied to census data
Author/Authors :
I. Albarr?n، نويسنده , , P. J. Alonso&J. M. Marin، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2011
Abstract :
It is usually considered that the proportion of handicapped people grows with age. Namely, the older the
man/woman, the more the 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. The study tries to assess the
impact of age on disability in Spain. Each gender has been treated separately because it can be shown that
men and women have their own pattern of behaviour. Three different methods of estimation have been used
to check the link between those variables. The results seem to support the idea that the relationship among
age and the intensity of disability is not always direct. One of the concluding remarks in this analysis is
that the method of estimation has a great incidence in the final results, especially in central ages between
20 and 80 years old.
Keywords :
disability , Local estimation , Bars , Splines , Neural networks
Journal title :
JOURNAL OF APPLIED STATISTICS
Journal title :
JOURNAL OF APPLIED STATISTICS