Statalist


[Date Prev][Date Next][Thread Prev][Thread Next][Date index][Thread index]

Re: st: two level model


From   Maarten buis <maartenbuis@yahoo.co.uk>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: two level model
Date   Sat, 18 Aug 2007 21:17:35 +0100 (BST)

Viktor:
I have only a very partial answer to your question. The situation you
describe reminds me of what economists call McFadden's choice model,
-asclogit- in Stata. This has a very similar structure: multiple
options and the choice between them can be influenced by both
characteristics of the choice and the individual making the choice. The
problem is that this model deals with discrete outcomes, and you are
dealing with proportions. However, finding and understanding a very
similar model can sometimes be very helpful in solving such problems.

Hope this helps,
Maarten

--- Viktor Slavtchev <viktor.slavtchev@uni-jena.de> wrote:
> 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
> 
> 
> 
> *
> *   For searches and help try:
> *   http://www.stata.com/support/faqs/res/findit.html
> *   http://www.stata.com/support/statalist/faq
> *   http://www.ats.ucla.edu/stat/stata/
> 


-----------------------------------------
Maarten L. Buis
Department of Social Research Methodology
Vrije Universiteit Amsterdam
Boelelaan 1081
1081 HV Amsterdam
The Netherlands

visiting address:
Buitenveldertselaan 3 (Metropolitan), room Z434

+31 20 5986715

http://home.fsw.vu.nl/m.buis/
-----------------------------------------


      ___________________________________________________________ 
Want ideas for reducing your carbon footprint? Visit Yahoo! For Good  http://uk.promotions.yahoo.com/forgood/environment.html
*
*   For searches and help try:
*   http://www.stata.com/support/faqs/res/findit.html
*   http://www.stata.com/support/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/



© Copyright 1996–2014 StataCorp LP   |   Terms of use   |   Privacy   |   Contact us   |   What's new   |   Site index