Congressional Check Bouncing

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3 total messages Started by "John E. Davis" Sun, 08 Nov 1992 20:19

#544

Author: "John E. Davis"
Date: Sun, 08 Nov 1992 20:19

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Hi,

   I was wondering if anyone has made a histogram for the number of bounced
checks by congressmen.  I would imagine that if there were random problems
with the house banking system, the histogram should be of a gaussian(?) form.
At any rate, the statistics should suggest a cutoff on the number of bounced
checks so that one could say the congressman X was or was not a victim of the
banking system. I am not a statistician but this seems like an ideal problem
for statistics.

Thanks,

--
     _____________
#___/John E. Davis\_________________________________________________________
#
# internet: davis@amy.tch.harvard.edu
#   bitnet: davis@ohstpy
#   office: 617-735-6746
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Re: Congressional Check Bouncing

#556

Author: Simon D. Jackman
Date: Mon, 09 Nov 1992 22:55

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In the briefing book CBS News was circulating prior to the election
there was a copy of a list of congress people with check problems.  The
distribution is highly positively skewed.  I think it maxed out around
960 checks, but a large number of people had zero or only a small number
of bounced checks.

A good proportion of people with serious check problems (say, > 100
checks) chose not to seek re-election, or lost in the primaries.

Cheers -- Simon Jackman, Woodrow Wilson School, Princeton U, and Dept of
Political Science, U.Rochester.

Re: Congressional Check Bouncing

#557

Author: Charles Packer
Date: Tue, 10 Nov 1992 11:08

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In article <1992Nov9.225516.11794@Princeton.EDU>, sjackman@phoenix.Princeton.EDU (Simon D. Jackman) writes...
>distribution is highly positively skewed.  I think it maxed out around
>960 checks, but a large number of people had zero or only a small number
>of bounced checks.


..And positive skewness is what one would expect, since check-bouncing is
a performance variable, in the same class as income attainment or
publishing papers! Experts, is this a lognormal or hyperbolic distribution?
Does one shade into the other? In either case, aren't multiplicative
effects usually proposed to model this, as opposed to the additive
effects that generate a Gaussian distribution?

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