[R] mixtures as outcome variables

From: Jason W. Martinez <jmartinez5_at_verizon.net>
Date: Wed 23 Mar 2005 - 10:11:20 EST


Dear R-users,

I have an outcome variable and I'm unsure about how to treat it. Any advice?

I have spending data for each county in the state of California (N=58). Each county has been allocated money to spend on any one of the following four categories: A, B, C, and D.

Each county may spend the money in any way they see fit. This also means that the county need not spend all the money that was allocated to them. The data structure looks something like the one below:

COUNTY A B C D Total



alameda 2534221 1555592 2835475 3063249 9988537
alpine   3174     8500    0        45558    55232
amador    0       0        0        0       0
....

The goal is to explain variation in spending patterns, which are presumably the result of characteristics for each county.

I may treat the problem like a simple linear regression problem for each category, but by definition, money spent in one category will take away the amount of money that can be spent in any other category---and each county is not allocated the same amount of money to spend.

I have constructed proportions of amount spent on each category and have conducted quasibinomial regression, on each dependent outcome but that does not seem very convincing to me.

Would anyone have any advice about how to treat an outcome variable of this sort?

Thanks for any hints!

Jason

-- 
Jason W. Martinez, Gradaute Student
University of California, Riverside
Department of Sociology
E-mail: jmartinez5@verizon.net

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Received on Wed Mar 23 10:16:21 2005

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