A comparison between general population mortality and life tables for insurance in mexico under gender proportion inequality Report as inadecuate




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Montserrat Guillen ;Revista de Métodos Cuantitativos para la Economía y la Empresa 2013, 16

Author: Arelly Ornelas

Source: http://www.redalyc.org/


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Revista de Métodos Cuantitativos para la Economía y la Empresa E-ISSN: 1886-516X ed_revmetcuant@upo.es Universidad Pablo de Olavide España Ornelas, Arelly; Guillen, Montserrat A Comparison between General Population Mortality and Life Tables for Insurance in Mexico under Gender Proportion Inequality Revista de Métodos Cuantitativos para la Economía y la Empresa, vol.
16, diciembre-, 2013, pp.
46-67 Universidad Pablo de Olavide Sevilla, España Available in: http:--www.redalyc.org-articulo.oa?id=233129568003 How to cite Complete issue More information about this article Journals homepage in redalyc.org Scientific Information System Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Non-profit academic project, developed under the open access initiative REVISTA DE MÉTODOS CUANTITATIVOS PARA LA ECONOMÍA Y LA EMPRESA (16).
Páginas 47–67. Diciembre de 2013. ISSN: 1886-516X.
D.L: SE-2927-06. URL: http:--www.upo.es-RevMetCuant-art.php?id=78 A Comparison between General Population Mortality and Life Tables for Insurance in Mexico under Gender Proportion Inequality Ornelas, Arelly Department of Econometrics, Riskcenter-IREA Universitat de Barcelona (España) Correo electrónico: arelly.ornelas@ub.edu Guillén, Montserrat Department of Econometrics, Riskcenter-IREA Universitat de Barcelona (España) Correo electrónico: mguillen@ub.edu 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 fit 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...





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