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http://www.statistics.gov.uk/downloads/theme_labour/ashe-2010/2010-all-employees.pdf
If I'm reading this right, table 1.7a is saying that anyone earning
employees), and around the 25th percentile among males in full-time
employment. Does that look right?
(You have *no idea* how hard it is to discover this information with
Google... Even once you find the government statistics, it's very hard
to navigate.)
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Le 09/06/2011 15:11, Invisible a écrit :
> http://www.statistics.gov.uk/downloads/theme_labour/ashe-2010/2010-all-employees.pdf
>
>
> If I'm reading this right, table 1.7a is saying that anyone earning
> £20,000/year would be in approximately the 50th percentile (among all
> employees), and around the 25th percentile among males in full-time
> employment. Does that look right?
Yep, 1.7a reads as: with £20k/y, you are at the median of all employees
(take any other employee and there is 50% chance his+her salary is more
than your, and 50% it is less than your)
If you restrict to male for selecting the concurrent, it change to 33%
for less and 66% (approx) for more. (£20k is after 30 percentile, but
before 40th)
If you restrict to female, it change to 63% / 36%.
If you select only full time job, all gender, it is back to 33% / 66%.
For a part-time job, it is very near the top (only 15% would earn more).
For a male full time, you are at 25% / 75% )
For a female full time, it's low average (45% / 55%)
Male part time: unrealistic (data for 90th percentile have a coefficient
variation above 5%), yet possible
Female part time: top 10%
Remember that the sampling is biased, culturally:
* many female with pay & child would opt for part time, far less male
would make the same choice (in the patriarchal society, the male is
assumed to provide the main incoming, so the social pressure on going
part-time with child is gender-biased)
* on the same line, the number of female with pay is a smaller % of the
female population than the % in male population. (the housewife model is
still unbalanced with a househusband)
* many big pays are to old workers, whose distribution in gender is not
the same as for young ones. (hint: the raw statistic should also be
tabulated by age, but this is not available)
And last:
* it take only into account employee, not employer and self-enterprise.
The gender distribution on these two latter category can be very different.
--
A good Manager will take you
through the forest, no mater what.
A Leader will take time to climb on a
Tree and say 'This is the wrong forest'.
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On 10/06/2011 09:04 AM, Le_Forgeron wrote:
> Remember that the sampling is biased, culturally:
> * many female with pay& child would opt for part time, far less male
> would make the same choice
...which is presumably why that's the only table with a high CV.
> * many big pays are to old workers, whose distribution in gender is not
> the same as for young ones. (hint: the raw statistic should also be
> tabulated by age, but this is not available)
It's probably in another table or something. These people have so many
damned statistics; good luck finding them!
> And last:
> * it take only into account employee, not employer and self-enterprise.
> The gender distribution on these two latter category can be very different.
I'm guessing that one's harder to measure.
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On 09/06/2011 02:11 PM, Invisible wrote:
> http://www.statistics.gov.uk/downloads/theme_labour/ashe-2010/2010-all-employees.pdf
Hmm. Given the various percentile points, is it possible to estimate
which percentile an arbitrary value would fall into? (Beyond "somewhere
between these two data points".)
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On 6/10/2011 1:09, Invisible wrote:
> I'm guessing that one's harder to measure.
I would think the tax forms should give you all you need to know, if you're
willing to assume people don't lie on their taxes etc.
--
Darren New, San Diego CA, USA (PST)
"Coding without comments is like
driving without turn signals."
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On 10/06/2011 03:40 PM, Darren New wrote:
> On 6/10/2011 1:09, Invisible wrote:
>> I'm guessing that one's harder to measure.
>
> I would think the tax forms should give you all you need to know, if
> you're willing to assume people don't lie on their taxes etc.
The tax forms definitely say how much money you make, but I don't know
what other information is actually on them. (Having never seen one
myself...)
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On 6/10/2011 7:46, Invisible wrote:
> On 10/06/2011 03:40 PM, Darren New wrote:
>> On 6/10/2011 1:09, Invisible wrote:
>>> I'm guessing that one's harder to measure.
>>
>> I would think the tax forms should give you all you need to know, if
>> you're willing to assume people don't lie on their taxes etc.
>
> The tax forms definitely say how much money you make, but I don't know what
> other information is actually on them. (Having never seen one myself...)
Oh, in terms of age and gender and stuff? Yea, ok, I can see that being
problematic.
--
Darren New, San Diego CA, USA (PST)
"Coding without comments is like
driving without turn signals."
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On 10/06/2011 09:13 AM, Invisible wrote:
> On 09/06/2011 02:11 PM, Invisible wrote:
>>
http://www.statistics.gov.uk/downloads/theme_labour/ashe-2010/2010-all-employees.pdf
>>
>
> Hmm. Given the various percentile points, is it possible to estimate
> which percentile an arbitrary value would fall into? (Beyond "somewhere
> between these two data points".)
Looking at the graph [for male full-time employment in 2010], it seems
that these values actually form a surprisingly straight line until you
each roughly the 70th percentile (then it starts to curve upward more
sharply).
the 15th percentile.
So yes. Apparently I now earn more money than 15% of the people who are
in full-time employment. Or, if you're a glass-half-empty person, I earn
less than what 85% of the population in full-time employment earns.
Also, apparently due to minimum wage laws, the lowest sum that you can
so above that.
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On 13/06/2011 03:00 PM, Invisible wrote:
> Looking at the graph [for male full-time employment in 2010], it seems
> that these values actually form a surprisingly straight line until you
> each roughly the 70th percentile (then it starts to curve upward more
> sharply).
Same curve for full-time, just slightly lower.
> the 15th percentile.
Recomputing from the full-time figures, that's the 17th percentile to
the 20th percentile.
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