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We need good individual-level demographic and election data to
learn more about who votes for each major U.S. political party.
Barring that, it is still interesting to examine county-level
data.  The U.S. City and County Databook (fisher.lib.virginia.edu/ccdb)
combines U.S. census data with election data.  For the 1992
U.S. presidential election I used S-Plus to develop a multiple
regression
model with percent voting democratic (Clinton) as the dependent
variable and the following independent variables:

population density (cubic spline in log(density+1))
% population change
% age >= 65 years
serious crimes per 100,000
% farm population
% white
% voting turnout
median family income and % with bachelors degree of those age>=25 years
 (restricted tensor spline interaction surface)

Nonlinearity was allowed for all variables except crime rate, by using
restricted cubic regression splines.

The two attached graphs show (1) the relation between the % college
degree and % voting democratic, holding all other variables to their
median over the 3141 U.S. counties (including income; 0.95 confidence
bands are included), and (2) the
simultaneous relationship between college, income, and % democratic.
The attached graphs are in jpeg format so the resolution isn't
great but they should be easy to view.  Anyone wanting a copy of
the S-Plus transport-format dataset can get it next Tuesday from
hesweb1.med.virginia.edu/biostat/s/data/counties.sdd.
-- 
Frank E Harrell Jr              Prof. of Biostatistics & Statistics
Div. of Biostatistics & Epidem. Dept. of Health Evaluation Sciences
U. Virginia School of Medicine  http://hesweb1.med.virginia.edu/biostat
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