Aproximación a curvas de mortalidad a través de una propuesta no paramétrica: el caso del modelo de Heligman y Pollard
A non-parametric method is proposed to approximate mortality curves with emphasis on those coming from the Heligman and Pollard model (HP), where loss functions and controlled smoothness are applied such that the trend of the observed mortality data is as close as possible to the curve of mortality...
| Autores principales: | , |
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| Formato: | Online |
| Idioma: | espanhol |
| Editor: |
El Colegio de México A.C.
2018
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| Assuntos: | |
| Acesso em linha: | https://estudiosdemograficosyurbanos.colmex.mx/index.php/edu/article/view/1805 |
| Recursos: |
Estudios Demográficos y Urbanos |
| Resumo: | A non-parametric method is proposed to approximate mortality curves with emphasis on those coming from the Heligman and Pollard model (HP), where loss functions and controlled smoothness are applied such that the trend of the observed mortality data is as close as possible to the curve of mortality produced by the HP model. It can be appreciated with several estimates that the best fit results are obtained for male mortality, and even more so after 12 years old. Using this perspective, it is provided a reference range of the smoothing parameters to approximate those mortality curves that would be obtained after applying the HP model. |
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