On Demographic Approach of the BGGM Distribution Parameters on Italy and Sweden

Panagiotis Andreopoulos () and Alexandra Tragaki ()
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Panagiotis Andreopoulos: Harokopio University, Department of Geography
Alexandra Tragaki: Harokopio University, Department of Geography

Chapter Chapter 12 in Demography of Population Health, Aging and Health Expenditures, 2020, pp 169-185 from Springer

Abstract: Abstract The dynamics of human mortality during lifetime is an issue of great scientific interest for its demographic and actuarial implications, but also for better understanding this very process of ageing. Differences in the shape of mortality curves reflect changes in the rates and causes of mortality and are related to both endogenous and exogenous factors. Shape variations of mortality curves over time as well as across regions may help to decipher the process of ageing and thus formulate health strategy priorities and policies so as to reduce premature mortality, improve quality of life, and extend life span. In this study, a new model of mathematical mortality (BGGM distribution) is applied on Italian and Swedish data, over a 114 year-period (1900–2013). The aim of this work is to evaluate the proper adaptation of this distribution, to estimate its values and to identify eventual spatial and temporal differentiations. The application of the suggested approach is illustrated using historical data provided by the Human Mortality Database.

Keywords: Gompertz and Makeham functions; BGGM distribution; Mortality dynamics; Projections (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssdmcp:978-3-030-44695-6_12

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DOI: 10.1007/978-3-030-44695-6_12

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