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

Author

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  • Alonso, Pablo J.

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.

Suggested Citation

  • Alonso, Pablo J., 2010. "Non-linear models of disability and age applied to census data," DES - Working Papers. Statistics and Econometrics. WS ws102410, Universidad Carlos III de Madrid. Departamento de Estadística.
    • Handle: RePEc:cte:wsrepe:ws102410
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    References listed on IDEAS

    as
    1. John A. Fleishman & William D. Spector & Barbara M. Altman, 2002. "Impact of Differential Item Functioning on Age and Gender Differences in Functional Disability," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 57(5), pages 275-284.
    2. Wallstrom, Garrick & Liebner, Jeffrey & Kass, Robert E., 2008. "An Implementation of Bayesian Adaptive Regression Splines (BARS) in C with S and R Wrappers," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 26(i01).
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Disability;

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C45 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Neural Networks and Related Topics
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General

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