Modelling Nigerian Female Mortality: An Application of Four Stochastic Mortality Models

Oluwaseun Eniola Adegbilero-Iwari () and Angela Unna Chukwu
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Oluwaseun Eniola Adegbilero-Iwari: Afe Babalola University, Department of Community Medicine
Angela Unna Chukwu: University of Ibadan, Department of Statistics

Chapter Chapter 15 in Quantitative Methods in Demography, 2022, pp 229-244 from Springer

Abstract: Abstract Nigeria, with an estimated population of over 200 million people is depicted as the most populous black Nation in the World with the female gender constituting about 49.4% of its total Population. However, from infanthood to adulthood, the female folk in Nigeria is faced with challenges; from low-socio cultural values to poor socio-economic growth and a frail health care system. In the midst of the afore-mentioned challenges, survival for her is not a priviledge but a fight. With the aid of four stochastic mortality models and mortality data obtained from the Global Health Observatory, this study assesses the peculiarities surrounding the Nigerian age-specific female mortality data. It also illustrates the potentiality of the Gamma-Normal version of the Lee-Carter model over three existing variants of the Lee and Carter (J Am Stat Assoc 87(419):659–671) model.

Keywords: Age; Female mortality; Population; Mortality models; Gamma-normal (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssdmcp:978-3-030-93005-9_15

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DOI: 10.1007/978-3-030-93005-9_15

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