Re: st: RE: Comparing Chi2/L2 in different samples using bootstrap

[Stas Kolenikov <skolenik@gmail.com>]

On Mon, Dec 6, 2010 at 8:43 AM, Dmitriy Poznyak
<Dmitriy.Poznyak@soc.kuleuven.be> wrote:
> I hear your points. Indeed, pooling the dataset sounds like a good option, but here's where the complicaton is: the model has six categorical variables and six continious ones. Interacting year with each predictor (and each category in case of the categorical vars.) will make the model quite complicated. Besides, I am not sure if I will be able to use the mlogview command in this case, which makes interpretation so much easier.
> As for the clustering, the cluster size is actually quite big in each survey year - I think at least 40 observations. There's also at least 50 clusters in each year in total. As pointed, I do svyset the data before. However, I am willing to sacrifice clustering option in the model

You are worried about wrong things. First you need to make sure you
have the right methodology. Then, once you have that straightened out,
you can start thinking about presenting it right. If you are willing
to sacrifice the methodology in favor of a user-written command to
produce a bunch of graphs for you (which takes 10-20 lines of code
that you can write yourself if needed), this looks like a poor choice
to me.

> After all, and in a nutshell if things are kept as they are, can I stretch my conclusions this far to compare the coefficients?

Uhm.... this far as to where? Interpretation of your model is up to
you, statalist cannot give you the answer on it.

-- 
Stas Kolenikov, also found at http://stas.kolenikov.name
Small print: I use this email account for mailing lists only.

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