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Modeling the Relationship Between Male and Female Mortality Patterns in Modern Populations

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Abstract

It is generally known that the age-specific probabilities of dying exhibit a typical pattern common in all human populations. It is also extensively known that, in every population, males and females experience significantly different mortality levels. However the gap between the mortality patterns of the two sexes significantly varies through ages exhibiting a pattern that became typical since the middle of the 20th century. In this paper we present a parametric model for the description of this pattern, which presents the log ratio between the male and female empirical probabilities of dying as a parametric function of age. For evaluating the adequacy of the model proposed, we fit it to empirical data sets of a variety of populations and time periods. This model can serve as a tool for comparisons of the sex-differentiated mortality between populations and through time.

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Correspondence to Paraskevi Peristera.

Appendix

Appendix

Table 3 Fit of the model (assessed through error sum of squares) for various years and countries
Table 4 Estimated values of the parameter co and standard errors
Table 5 Estimated values of the parameter c1 and standard errors
Table 6 Estimated values of the parameter m1 and standard errors
Table 7 Estimated values of the parameter σ1 and standard errors
Table 8 Estimated values of the parameter c2 and standard errors
Table 9 Estimated values of the parameter m2 and standard errors
Table 10 Estimated values of the parameter σ2 and standard errors

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Kostaki, A., Peristera, P. & Lanke, J. Modeling the Relationship Between Male and Female Mortality Patterns in Modern Populations. Population Ageing 4, 33–63 (2011). https://doi.org/10.1007/s12062-011-9039-3

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  • DOI: https://doi.org/10.1007/s12062-011-9039-3

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