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I strongly recommend Michael's article -
[http://epc2010.princeton.edu/abstractViewer.aspx?submissionId=100690]
I have read it quickly and will soon be looking at it again (but then, I
know nothing about demography).

I generally like percentiles rather than Pearsonian moments: so why do we
not use L50, the median of life-lengths, rather than the expectancy, which
is highly sensitive to extremes including infant mortality, centenarians and
data-errors? If I had L10 and L90, that would have more meaning for me.
(This is separate from the question whether when comparing different areas,
one should go for the extremes or a percentile: again, for me the 10th and
90th percentiles would be more interesting than the extremes.)

I agree with Jane that this could be a suitable topic for the Newsletter.
But something more class-based would also be interesting: can we compare L10
and L90 for those at Y10 and Y90, the 10th and 90th percentiles of the
income-distribution? Thinking more abstractly we have P(L,Y) which is the
probability that somebody at the Y-th income percentile expires at age L.
What shape is this curve, and how is it best summarised?

Sorry, I prefer posing questions rather than providing answers.

JOHN BIBBY





On 10 November 2010 10:27, Michael Grayer <[log in to unmask]> wrote:

> As John said: concentrating on extremes is not really helpful. The
> methodology used to calculate life expectancy (at least the ones used by
> ONS
> [
> http://www.statistics.gov.uk/downloads/theme_other/GSSMethodology_No_33.pdf]
> and the health observatories [
> http://www.sepho.org.uk/download.aspx?urlid=9847&amp;urlt=1]) for such
> small areas introduces quite a few artefacts into the estimates. These
> predominantly manifest themselves in the form of over-estimates, because
> there is no upper bound placed on the length of survival in the final age
> group. I wrote a conference paper on this about a year ago which I hope to
> have published---you can read the conference proceedings version of it
> online [
> http://epc2010.princeton.edu/abstractViewer.aspx?submissionId=100690].
> There probably is a real, substantive gap in life expectancy, but 16.8 years
> is most likely an over-estimate. A more conservative estimate would be
> provided by taking the inter-quartile range, or some other measure which
> drops the outliers.
>
> As for smaller areas, well, we'd all love to have them, but much smaller
> scale than the ward-level and the numbers become so tiny that it really
> is an exercise in getting blood out of a stone. After all, "life
> expectancy" is a property of populations, not individuals, so a
> reasonable level of aggregation has to be maintained for the figures to
> be meaningful.
>
> I hope this is helpful information.
>
> Best wishes,
> Michael.
>
>
> On Wed, 2010-11-10 at 08:56 +0000, Martin Rathfelder wrote:
> > I know about these thank you.  What I want are ward level stats. Or
> > smaller, I suppose, but the small area stats I have seen were very
> > difficult to use because they didn't relate to any identifiable places.
> >
> > On 10/11/10 08:39, Potter, Lesley wrote:
> > > http://www.statistics.gov.uk/statbase/Product.asp?vlnk=8841
> > >
> > > There is a collection of resources on life expectancy here, produced by
> > > the Office for National Statistics,
> > > Hope this is helpful,
> > > Lesley
> > >
> > >
> > > -----Original Message-----
> > > From: email list for Radical Statistics [mailto:
> [log in to unmask]]
> > > On Behalf Of Martin Rathfelder
> > > Sent: 10 November 2010 08:32
> > > To: [log in to unmask]
> > > Subject: Health inequality:
> > >
> > > There is, according to the local PCT, a 16.8 year gap in life
> expectancy
> > >
> > > experienced by female residents who live in the Macclesfield Town
> > > Tytherington area compared to those living in Crewe's Central and
> Valley
> > >
> > > area
> > >
> > > This sort of local inforamtion is very useful politically.  Does anyone
> > > know of, or is anyone capable of producing, a convenient useful source
> > > of such stuff?  Ideally showing the most extreme disparities in close
> > > proximity.
> > >
> > > I presume that the smaller the areas the greater the disparities.  The
> > > DPH in Huddersfield used to produce some good graphs showing the
> > > contrasts between the two sides of the same road.
> > >
> > > Martin Rathfelder
> > > Director
> > > Socialist Health Association
> > > 22 Blair Road
> > > Manchester
> > > M16 8NS
> > > 0161 286 1926
> > > www.sochealth.co.uk
> > >
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> > --
> > Martin Rathfelder
> > Director
> > Socialist Health Association
> > 22 Blair Road
> > Manchester
> > M16 8NS
> > 0161 286 1926
> > www.sochealth.co.uk
> >
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