Re: st: comparing policies across countries: multilevel estimation?

["Laura R." <laura.roh@googlemail.com>]

Thanks, Maarten, but I thought I could do it the other way round:
doing selection because I assume that is a must with employment and
wage equations, and worry about multilevel later. Infact, I have seen
quite a few papers with multilevel data - e.g. individual data and
regional unemployment rate - without specifying multilevel. However, I
will for sure take a look (again) on the book you suggested.

Laura


2010/12/16 Maarten buis <maartenbuis@yahoo.co.uk>:
> --- On Thu, 16/12/10, Laura R. wrote:
>> To be precise, with multilevel models I mean models that
>> are based on individual data, but some individuals share
>> some variables because they belong to the same kind of
>> group. <snip> I thought maybe one has to treat them
>> differently than the other variables, as this is what
>> multilevel models do, as far as I have heard. As to the
>> selection, I would like to estimate the selection into
>> employment and then the wages.
>
> You are describing the aim, not how you want to do it. With
> this type of modeling the devil is in the detail. For now
> I would forget about selection, and first focuss on
> understanding the different forms of multilevel modeling
> and their advantages and disadvantages. A nice place to
> start would be: <http://www.stata.com/bookstore/mlmus.html>.
> After that you can look if you still have time left to
> look at selection in a multilevel context.
>
> Hope this helps,
> Maarten
>
> --------------------------
> Maarten L. Buis
> Institut fuer Soziologie
> Universitaet Tuebingen
> Wilhelmstrasse 36
> 72074 Tuebingen
> Germany
>
> http://www.maartenbuis.nl
> --------------------------
>
>
>
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