Page 13 - IJPS-10-3

International Journal of
Population Studies The use of multiregional life tables in Italy

not only following the survivorship history of the various Figure 2 shows that the males born in the northeast
cohorts but also keeping track of their migration history comprise the main cohort with the fewest individuals
from one macroregion to another. We can study their outside the birth area. In addition, when they leave the
internal migration with higher accuracy to the analysis macroregion of birth, most of their migration flows are
conducted using the traditional rates of emigration. Before concentrated toward the northwest. On the other hand,
moving on to examine life expectancy, it is interesting to the cohort of males born in the central regions and those
explore the survivorship profiles distinctly by macroregion born in the northwest show similar patterns of migration.
of birth. In a dynamic sense, all cohorts have had such a They have a certain equal distribution in the macroregions
trend. In fact, survivors outside the macroregion of birth (outside the macroregion of birth). As expected, the
first dropped in 2005 – 2007 and in 2008 – 2010 and then cohort of males born in the south is the one that has the
reached values higher than the first 3 years (2002 – 2004) greatest amount of survivorship outside the macroregion
in the 2011 – 2013 periods. This evolution can be observed of birth. Compared to the other macroregions of birth,
in all birth cohorts, for both males and females. Figure 2 in percentage, in fact, the values are almost triple. Female
depicts the survivorship of men from 2011 to 2013. On survivors show similar profiles. However, there are
the vertical axis, the figure indicates the survivorship by important gender differences that should be highlighted.
macroregion (values per thousands) and on the other Figure 3 is obtained by subtracting survivorship by age
axis the age. As described above, the root of the table is of females from the corresponding males (males minus
100,000 individuals. This figure offers a glimpse into the females), distinctly by birthplace in 2011 – 2013. In this
hypothetical history (both migratory and death-related) of way, when the values in Figure 3 are placed on the negative
the birth cohort formed by 100,000 individuals from the side of the y-axis, the values for females exceed those of the
age of 0 to 70. In this way, for each age and for each birth males. The opposite happens on the positive side.
cohort, the sum of survivors by macroregion of residence In essence, the graph obtained is strongly influenced
plus the cumulative deaths always returns to a total of by the greater mortality of males compared to females. For
100,000. At this point, it will be clear that at age 0 there are this reason, for all cohorts of birth, there is a prevalence
no deaths and the whole cohort of 100,000 individuals is of the cumulative deaths on the positive side of the y-axis.
alive in the macroregion of birth; vice versa, after age 70 all However, based on what has been said, the cases in which
100,000 individuals have died. survivors in other sections are predominantly male are

Figure 2. Survivorship of males represented by age, macroregion of residence, and macroregion of birth from 2011 to 2013. Data are expressed in values
per thousands.
Source: authors’ elaborations based on Istat data (estimates).

Volume 10 Issue 3 (2024) 7 https://doi.org/10.36922/ijps.1898