Finding Answers About the Uninsured, Pt.2 – What can we
tell?
Previous…
What is the reason for this rapidly growing figure? A
popular one right now is an influx of population growth, both
by birthrate and immigration. Rates were compiled by Dr. David
Gratzer, a Senior Fellow of the Manhattan Institute and
published in his recent book called “The Cure.” In his book,
Dr. Gratzer provides data from the past covering 10 years from
1990 through 1998. He has compiled this data to show a curve
spread of between 14.1% to 16.3% over that time period of
those without health insurance. So, the US Census 2006 figure
of 15.8 falls well within the “Bollinger bands” of that
earlier time period. Interestingly, this period also reflected
a simultaneous rise in both more people becoming insured and,
at the same time, more people going without health insurance.
My caution here is the strong possibility of a
multi-co-linearity. A multi-co-linearity is where there is
more then one major driving force, each independent of the
others. When this happens, inferences as to what is really
going on become blurred in complexity. One may be in support
of the other, may oppose the other or they may even serve to
convolute each other. To simplify that explanation, consider
that this historic data was from a different time. The data
from that period also shows that 75% of the occurrences of
people without health insurance, acquired new insurance within
a year. That period is known to be a time of “churning”.
Churning is when people keep changing jobs at a rate much
higher than normal. In a perfect scenario, everyone who loses
a job, gets another job within a year. The ‘90’s were known to
be a time of great prosperity, yet a time of turbulence. Jobs
were abundant and people were “movin’ on up”.
Continued…
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