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
Pages :
13
From page :
2151
To page :
2163
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
Serial Year :
2011
Journal title :
JOURNAL OF APPLIED STATISTICS
Record number :
712661
Link To Document :
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