I'm providing below a link to the .ppt file that I presented
several years ago (probably 1999) at a GIS in Health conference
held in Bethesda, MD.
http://www.brc.tamus.edu/blackland/staff/muttiah/ihgc_files/frame.htm
I welcome comments. I can email a write up if you would
like more details.
*****************************************
* Ranjan S. Muttiah
* Associate Professor
* Texas Agricultural Experiment Station
* Blackland Res. & Ext. Ctr.
* 808 East Blackland Road
* Temple, Texas 76502
* Tel: 254-774-6103
* Fax: 254-770-6561
*****************************************
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Imagine I am sitting down to have EI estimate turnout for whites and
blacks in two states. My hypothesis is that black candidates increase
white and black turnout in the Congressional districts in which they run.
I have precinct-level turnout for each precinct in the states, as well as
precinct-level racial composition. I have a choice as to two ways to
estimate the turnout rates. I can estimate
them Congressional district by Congressional district, or I can estimate
all of the turnout rates for whites and blacks for the entire state at one
time.
If I estimate these rates all at once for the state, then I am borrowing
the most strength from all of the turnout in all of the state. The
downside, however, might be that if I estimate turnout for each district
separately then I am allowing those districts to have turnout rates that
are more different from each other than would be the case if I estimated
the white and black turnout rates for each state at the same time. In
other words, we might expect EI to produce different answers depending on
how we run the models in the way I have described.
My question is, which way is preferable? And my second question, how
different would we expect the turnout rates to be depending upon how I run
EI?
Thanks,
Greg
Gregory A. Pettis
Political Science
Elon University
CB # 2203
Elon, N.C. 27244
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