Thursday, March 09, 2006
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: email@example.com > Newcastle University |http://www.ncl.ac.uk/geps > > Whereever you go and whatever you do, just remember this. No matter how > many like you, admire you, love you or adore you, the number of people > turning up to your funeral will be largely determined by local weather > conditions. > > * > * 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/ >
-- Ada Ma Research Fellow Health Economics Research Unit University of Aberdeen, UK. http://www.abdn.ac.uk/heru/ Tel: +44 (0) 1224 553863 Fax: +44 (0) 1224 550926
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