Approximation to mortality curves with a non-parametric proposal: The case of the Heligman and Pollard model
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: | , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2018 |
| País: | México |
| Institución: | EL COLEGIO DE MÉXICO |
| Repositorio: | Estudios Demográficos y Urbanos |
| Idioma: | español |
| OAI Identifier: | oai:oai.estudiosdemograficosyurbanos.colmex.mx:article/1805 |
| Acceso en línea: | https://estudiosdemograficosyurbanos.colmex.mx/index.php/edu/article/view/1805 |
| Access Level: | acceso abierto |
| Palabra clave: | Heligman and Pollard model smoothness smoothing parameter trends mortality curve generalized least squares modelo de Heligman y Pollard suavidad parámetro de suavizamiento tendencias curva de mortalidad mínimos cuadrados generalizados |
| Sumario: | 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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