The Functional Clustering of the Mortality Gender Gap: A Multi-Country Analysis

Giovanna Apicella (), Emilia Di Lorenzo (), Gabriella Piscopo () and Marilena Sibillo ()
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Giovanna Apicella: University of Udine, Department of Economics and Statistics
Emilia Di Lorenzo: University of Naples Federico II, Department of Economic and Statistical Sciences
Gabriella Piscopo: University of Naples Federico II, Department of Economic and Statistical Sciences
Marilena Sibillo: University of Salerno, Department of Economics and Statistics

Chapter Chapter 9 in Quantitative Methods and Data Analysis in Applied Demography - Volume 1, 2025, pp 115-121 from Springer

Abstract: Abstract Demographic literature is rich of empirical analyses showing how women have historically experienced lower mortality rates than men. In this paper, we consider a measure of the gender gap in mortality rates, the Gender Gap Ratio, across a wide range of populations collected in the Human Mortality Database. With the aim of highlighting similarities and differences between the countries considered, we apply a functional clustering method to the multivariate time series of Gender Gap. We reconstruct the functional form of the trends from the available discrete observations and derive the curves through non-parametric smoothing. Results for 65-years-old people from 1965 to 2014 are presented and discussed.

Keywords: Functional clustering; Gender Gap Ratio; Multi-country mortality trend (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/978-3-031-82275-9_9

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