By 1951, average fertility had fallen to just over two children per woman, and only five percent of children would die in their first ten years of life. A similar pattern of declining fertility and mortality rates, collectively known as the demographic transition, has been observed in every industrializing country. Financial projections for Social Security systems depend on many demographic, economic and social factors as well as the reduction of fertility rates and the ageing of a population. In order to address the need to develop reliable projections, it is unavoidable to detect appropriate measures to represent the future trends of the quantities of interest. The aim of the paper is apply to Italian data a mathematical scheme suitable for projecting the fertility rates and for measuring the uncertainty around these estimates. Finally a numerical application is provided.

Simulation framework in fertility projections / Russolillo, Maria; D'Amato, Valeria; G., Piscopo. - (2013), pp. 209-216. [10.1007/978-3-642-35467-0_22].

Simulation framework in fertility projections

D'AMATO, VALERIA;
2013

Abstract

By 1951, average fertility had fallen to just over two children per woman, and only five percent of children would die in their first ten years of life. A similar pattern of declining fertility and mortality rates, collectively known as the demographic transition, has been observed in every industrializing country. Financial projections for Social Security systems depend on many demographic, economic and social factors as well as the reduction of fertility rates and the ageing of a population. In order to address the need to develop reliable projections, it is unavoidable to detect appropriate measures to represent the future trends of the quantities of interest. The aim of the paper is apply to Italian data a mathematical scheme suitable for projecting the fertility rates and for measuring the uncertainty around these estimates. Finally a numerical application is provided.
2013
Neural Nets and Surroundings, Series: Smart Innovation, Systems and Technologies
9783642354663
02 Pubblicazione su volume::02a Capitolo o Articolo
Simulation framework in fertility projections / Russolillo, Maria; D'Amato, Valeria; G., Piscopo. - (2013), pp. 209-216. [10.1007/978-3-642-35467-0_22].
File allegati a questo prodotto
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1710042
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? ND
social impact