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 protected]
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.
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