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

Author

Listed:
  • 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)

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.

Suggested Citation

Handle: RePEc:spr:ssdmcp:978-3-031-82275-9_9
DOI: 10.1007/978-3-031-82275-9_9
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