Gender inequalities in life expectancy provide a broader picture
by combining two sets of statistical measures: the usual static gap
at a given point in time and the innovative S-time-distance measure
as the gap in time for a given level of the indicator.
Firstly, this offers an innovative approach for looking at
disparities over many units and over time. The new S-time-distance
measure, expressed in time units, is easy to understand by
everybody and offers a novel way to compare situations in
economics, politics, business, and statistics.
Secondly, while women expect to live longer than men for 99.5
percent of the world population, the empirical results show
astonishing differences among countries in gender disparity in life
expectancy around the globe.
Firstly, gender disparities in life expectancy analysed in
Gaptimer Report No. 2 'How much longer live women than men around
the globe?' uses the theoretical concept of time distance dimension
of inequality. This provides two innovative generic statistical
measures S-time-distance and S-time-step to complement (not
replace) the existing mostly static measures of inequality in many
fields. This is an additional dimension to assess the reality that
disparities can be very persuasive and a long-standing
phenomenon.
" 'As Sicherl (1973, 1993) proposes ... observed time distance
is a dynamic measure of temporal disparity between the two series
intuitively clear, readily measurable, and in transparent units. It
is suggested that one should complement conventional measures with
horizontal measures.'" (Granger and Jeon, 1997) C.W.J. Granger and
Y. Jeon, University of California at San Diego
The time distance measure shows the reality with new eyes. The
overall life expectancy the static difference between China and
Sweden was less than 10 percent (which may appear to be small)
while the S-time-distance was 51 years, (which gives a very
different perception of the magnitude of the gap).
Potential users of this methodology and results are very many at
various levels: international and national organizations, NGOs,
experts, businesses, managers, educators, students, interest
groups, media, and the general public.
Secondly, one of the main points in this study are astonishing
differences between countries for gender inequality in life
expectancy, which are confirmed by two methods: the respective
world ranks and by very large time distances between the female and
male trends of life expectancy. For example, Estonia occupied rank
51 the world for females and 110 for males. On the other extreme,
e.g. the rank for Qatar was 65 for females and only 12 for males.
For gender disparity in life expectancy S-time-distance for the
world average, i.e. the horizontal time gap between trends of
female and male life expectancy amounted to 20 years, 28 years for
the EU27 and 35 years for the USA, showing a large and persistent
gap in favour of women.
The time distance concept can influence the perception and
decisions of people when they are assessing their relative position
in their surroundings, in the society and across countries over
time. For the EU27 average it is shown that the time delay for life
expectancy of males behind females was large at about 27 years; the
relationship is very persistent and it changes very slowly.
In the EU there are 10 countries with S-time-distance delay of
male behind the female life expectancy more than 30 years, for five
of them more than 50 years, i.e. more than half a century. The
absolute difference in gender disparity in life expectancy for 269
EU27 NUTS2 regions ranged from 2.3 to 10.9 years of life, with a
median value of 5.5 years; the same median value for 3118 US
counties. More detailed regional results are prepared for the UK
and Italy.
General
| Imprint: |
Createspace Independent Publishing Platform
|
| Country of origin: |
United States |
| Series: |
Gaptimer Reports, 2 |
| Release date: |
February 2014 |
| First published: |
February 2014 |
| Authors: |
Pavle Sicherl
|
| Dimensions: |
280 x 216 x 4mm (L x W x T) |
| Format: |
Paperback - Trade
|
| Pages: |
58 |
| ISBN-13: |
978-1-4953-9883-4 |
| Categories: |
Books >
Business & Economics >
Economics >
Econometrics >
Economic statistics
Promotions
|
| LSN: |
1-4953-9883-8 |
| Barcode: |
9781495398834 |
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