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st: two level model


From   Viktor Slavtchev <viktor.slavtchev@uni-jena.de>
To   statalist@hsphsun2.harvard.edu
Subject   st: two level model
Date   Sat, 18 Aug 2007 18:38:16 +0200

dear,
I have followed model.
People can make (multiple) choices. For example, people can invest their money in different countries, whereat multiple investment options are possible at the same time.
Some people decide to invest all the money in (say) Germany, other decide to invest in both Germany and US, third group invests in Germany, US and UK.
The decision depends on country specific characteristics and on individual characteristics.
The estimation of the impact of country specific characteristics on the investment decision should be not problem since these characteristics are unique for each country.
But how to estimate the impact of individual characteristics on the investment decision since these are the same for each individual (do not differ with the different countries within one person)?
Example

id country investment_share interest_rate gender
1 Germany .2 .02 0
1 US .5 .03 0
1 UK .1 .025 0
1 France .1 .022 0
1 Italy .1 .023 0
2 Germany .6 .02 1
2 US .1 .03 1
2 UK .1 .025 1
2 France .1 .022 1
2 Italy .1 .023 1
3 Germany .2 .02 0
3 US .5 .03 0
3 UK .1 .025 0
3 France .1 .022 0
3 Italy .1 .023 0



I've just tried followed:
xi: glm investment_share interest_rate gender i.id, family(binomial) link(logit) scale(x2)

Is this an appropriate way to solve the problem?
Or should I use some kind of multilevel approach?
Could -xtmixed- be an appropriate method?
Or perhaps there is another way?
Tanks for any help.
best
viktor



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