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A Comparison between General Population Mortality and Life Tables for Insurance in Mexico under Gender Proportion Inequality || Una comparación entre la mortalidad de la población general y las tablas de vida de los seguros en México ante porcentajes desiguales de género

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  • Ornelas, Arelly

    ()
    (Department of Econometrics, Riskcenter-IREA. Universitat de Barcelona (España))

  • Guillén, Montserrat

    ()
    (Department of Econometrics, Riskcenter-IREA. Universitat de Barcelona (España))

Abstract

We model the mortality behavior of the general population in Mexico using data from 1990 to 2009 and compare it to the mortality assumed in the tables used in Mexico for insured lives. We _t a Lee-Carter model, a Renshaw-Haberman model and an Age-Period-Cohort model. The data used are drawn from the Mexican National Institute of Statistics and Geography (INEGI) and the National Population Council (CONAPO). We also fit a Brass-type relational model to compare gaps between general population mortality and the mortality estimates for the insured population used by the National Insurance and Finance Commission in Mexico. As the life tables for insured lives are unisex, i.e. they do not differentiate between men and women, we assume various sex ratios in the mortality tables for insured lives. We compare our results with those obtained for Switzerland and observe very similar outcomes. We emphasize the limitations of the mortality tables used by insurance companies in Mexico. We also discuss the bias incurred when using unisex mortality tables if the proportion of male and female policyholders in an insurance company is not balanced. || Interesados en conocer las diferencias entre la mortalidad general y la de un subgrupo de la población, como son los asegurados en una compañía de seguros, hemos ajustado un modelo relacional Brass-Type. Para ello, en primer lugar, hemos modelado el comportamiento de la mortalidad de la población general de México entre los años 1990 y 2009. Hemos ajustado un modelo Lee-Carter, un modelo Renshaw-Haberman y un modelo edad-período-cohorte. Los datos utilizados proceden del Instituto Nacional de Estadística y Geografía (INEGI) y el Consejo Nacional de Población (CONAPO). Una vez estimadas las tasas de mortalidad se han comparado con la mortalidad asumida por las compañías aseguradoras mexicanas. Estas tasas de mortalidad han sido calculadas por la Comisión Nacional de Seguros y Finanzas de México. Como las tablas de mortalidad del seguro de vida son unisex, es decir, que no distinguen entre hombres y mujeres, hemos creado diferente escenarios modificando el porcentaje de hombres y mujeres en las tablas de mortalidad. Comparamos los parámetros estimados con los parámetros obtenidos en un análisis con la población Suiza y se observan resultados muy similares. Finalmente, hacemos hincapié en las limitaciones de las tablas de mortalidad utilizadas por las compañías de seguros en México y se analiza el sesgo cuando la proporción de los asegurados masculinos y femeninos en una compañía de seguros no está equilibrada.

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Bibliographic Info

Article provided by Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration in its journal Revista de Métodos Cuantitativos para la Economía y la Empresa.

Volume (Year): 16 (2013)
Issue (Month): 1 (December)
Pages: 47-67

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Handle: RePEc:pab:rmcpee:v:16:y:2013:i:1:p:47-67

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Related research

Keywords: mortality rates; Lee-Carter; longevity dynamics; Brass-type model; insured population; tasas de mortalidad; modelo Lee-Carter; modelo Brass-Type; población asegurada;

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  1. Arthur Renshaw & Steven Haberman, 2003. "Lee-Carter mortality forecasting: a parallel generalized linear modelling approach for England and Wales mortality projections," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 52(1), pages 119-137.
  2. Debón, A. & Montes, F. & Puig, F., 2008. "Modelling and forecasting mortality in Spain," European Journal of Operational Research, Elsevier, vol. 189(3), pages 624-637, September.
  3. Renshaw, A.E. & Haberman, S., 2006. "A cohort-based extension to the Lee-Carter model for mortality reduction factors," Insurance: Mathematics and Economics, Elsevier, vol. 38(3), pages 556-570, June.
  4. Brouhns, Natacha & Denuit, Michel & Vermunt, Jeroen K., 2002. "A Poisson log-bilinear regression approach to the construction of projected lifetables," Insurance: Mathematics and Economics, Elsevier, vol. 31(3), pages 373-393, December.
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