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Re: st: RE: how to choose between geographical identifiers??
Can I use multilevel even if the LADs and TTWAs are overlapping - e.g.
London is one big TTWA? And I'm not quite sure how the LADs and TTWAs
overlap one another across the rest of UK, I can approximate the
overlapping using the All Field Postcode Directory, but that isn't
entirely accurate IMHO.
On 3/9/06, Clive Nicholas <Clive.Nicholas@newcastle.ac.uk> wrote:
> Ada Ma wrote:
> >> > I have a bunch of wage observations and all the observations are
> >> > attached with two geographical identifiers - local authority districts
> >> > (LADs) and travel to work areas (TTWAs). I want to find out how wages
> >> > vary across different areas in UK.
> >> >
> >> > Now I can run wage estimations using either one of the two categorical
> >> > variables as explanatory variable. I would however like to find out
> >> > which categorical variable fits the data better. How do I compare the
> >> > two sets of results given that the explanatory variables are quite
> >> > different?
> If you follow Austin Nichols' advice on doing the preliminary analysis,
> and you find differences in wage variances at different spatial levels,
> why not try the multilevel approach via -gllamm- and fit wage models at
> both of your spatial-identifying levels simultaneously? Just a thought.
> CLIVE NICHOLAS |t: 0(044)7903 397793
> Politics |e: firstname.lastname@example.org
> Newcastle University |http://www.ncl.ac.uk/geps
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