**From:** *Jason.L.Higbee@stls.frb.org*

**Date:** Mon 17 May 2004 - 07:05:46 EST

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Message-id: <20040516210547.D85FF85753@p3fed1.frb.org>

As mentioned by Baron, you should think deeper about the question(s) you

would like to answer and the context of those questions. Statistical

analysis should hopefully also have a theoretical basis. As for the

voting you have mentioned.

*>Q:there are six production listed below.according to your preference,the
*

production

*>you like most is_____,the production you secondly like is ____,and the
*

third is_____.

*>productionA productionB productionC productionD
*

productionE

*>productionF
*

*>
*

*>when the data is collected. i type in a stata in such format:
*

*>
*

*>firstlike secondlike thirdlike
*

*>A C D
*

*>E A E
*

*>¡¡¡¡¡¡¡¡¡¡¡¡¡¡
*

It is very tricky to analyze, so you should be up on the theoretical

developments of this type of voting. Look to: The Arrow impossibility

theorem and Condorcet's paradox.

http://en.wikipedia.org/wiki/Arrow's_impossibility_theorem

http://en.wikipedia.org/wiki/Voting_paradox

Though it doesn't seem ideal "every (unimposing) voting method which

chooses between three or more candidates, must be either dictatorial or

manipulable (i.e. susceptible to tactical voting)."

http://en.wikipedia.org/wiki/Gibbard-Satterthwaite_theorem

In my opinion, the statistical methods used should just be descriptive

statistics. Then think about what they are showing, with the

aforementioned theorems in mind, in the context of ultimate question you

are trying to answer.

Jason Higbee

Research Associate

Federal Reserve Bank of St. Louis

E: jason.l.higbee@stls.frb.org

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