god damn ...  like the fall of the rupee, the Pen-L discussion of
unemployment statistics will probably have to be censored from a young
lady's education for being too sensational.  But for a' that, I think that
there were a lot of deep, important issue discussed in this thread, though
perhaps at an excessive casualty rate.  Random thoughts of my own:

Michael wrote:

>Several times in the past, I mentioned that the unemployment rate should
>include something to adjust for the quality of available jobs.  My idea
>never resonated.  I am sure that it could not be calculated with any
>exactitude, but I agree that an unemployment rate of 1% with everyone
>flipping burgers might not be better than a rate of 5% with better jobs.

which is certainly toward the point, but raises problems of its own in
looking at the representativeness of statistics.  One might suggest that a
really great society would be one in which it was not such a terrible thing
to flip burgers, which is after all an important occupation for all of us
who like their burgers cooked on both sides.  Which goes deep into the heart
of the problem; what is the badness of unemployment -- the quality which
distinguishes "unemployment" from "leisure"?  It's clearly some sort of,
highly complicated, social property which, for the time being, defies
simplification.  Unlike everyone else on the side of this binary opposition
which I appear to be occupying, I *am* a reductionist, at heart, and I do
hold out some sort of hope that (perhaps only in principle), it might be
possible for somebody who thought about the problem enough to create a
number which could be updated weekly and which was an acceptable proxy for
what we don't like about unemployment.  On the other hand, I'm less
convinced than Doug, Jim and Christian that the data needed to create such
an index are available in the supplementary BLS data, or that adjusting the
headline unemployment rate is even necessarily progress in the right
direction.  I've spent enough of my life working with exactly precise
measurements of things not worth measuring to become terribly cynical ...
when I have some spare time, I'll rant long and hard about how even such a
"hard" number as, say the price of a share of General Electric, is
incredibly difficult to pin down without making vast and restrictive
assumptions about what it is you're trying to measure.

On the other hand, Jim brings us all back to earth with a bump with his
reply to Carl:

>so we shouldn't care about the number of unemployed individuals, even when
this number is measured accurately, because it peniciously 
>objectifies the individual? so if I refer to the high unemployment rate of
1933 in the United States, I am objectifying people (and doing so 
>perniciously)? 

Or in other words, you play the hand you're dealt, not the one you wanted.
It's obvious that there is a reality which the unemployment statistics
describe and that, with suitable adjustments, it's the same as the reality
that they puport to describe.  This is absolutely invaluable for historical
purposes, when we're trying to explain facts (the deprivation and despair of
the 1930s) by use of quantitative, measured opinion.  What I think Tom,
Sabri, me, and others are worried about is that by focusing on the
quantitative measures, it's quite easy to find yourself explaining things
*away*, particularly when you're dealing with contemporary rather than
historical events.  The original post which started off this whole brouhaha
was when Michael asked where the new jobs were coming from as "employment
has held up very well".  With all respect to our esteemed moderator, I do
think that there's a danger when discussing this kind of question that one
ends up taking the statistical measures as the fixed point, simply because
they're there.  Which is not to accuse anyone on this list of having done
that, or to suggest that the personal criticisms were justified, but there
is an important issue here; it's a while since we discussed the
fetishisation of measurement in modern management, but I suspect that's
because everyone agrees with it.

Finally, Christian wrote:

>But pointing out that this statistical
>measurement is missing from a statistical data set is different (and more
>germane) than saying that statistics don't capture suffering and therefore
>can't be trusted or are incomplete. The latter amounts to beating your head
>against the wall.

Which might be true but .... anyone who wasted their youth in attempting to
become a poor man's Bruce Lee will know that beating your head against a
brick wall is not quite the apogee of pointlessness that it is usually
claimed to be.  The ringing sensation becomes quite pleasurable after a
while, there is little risk of damage if you do it right, and it makes your
head and neck get stronger.  And sometimes, the wall breaks.

cheers

dd


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