Hello!
I am going to analyze the impacts of socio-economic variables on
areas(central city or suburbs)
over time(4years: 1970-2000) and across the MSAs(10 MSAs).
I am using cross-sectional time-series data at the level of census tract.
Here is the hypothetical structure of database for analysis.
I guess logit analysis would be a good choice.
I don't know how I can do this analysis using logit command(logit, clogit,
xtlogit).
How can I calculate the impact of each variable controlling for region(MSAs)
and time(Year).
The dependent variable is "area" (central city or suburbs).
I have around 50 independent variables(demographic, socio-economic,and
housing).
xtlogit area pop_ch joblessness poverty..... MSA YEAR, i(id)
Is this a right command to achieve what I expect?
Or are there better methods in stata?
I would appreciate for any suggestions and helps.
Thanks.
sugie
----------------------------------------------------------------------------
-------------------
census tract id msa year area population pop_ch joblessness
poverty ...........
a1.00 Atlanta 1970 center city 200 7%
10%
a1.00 Atlanta 1980 center city 300 xxx 8%
11%
a1.00 Atlanta 1990 center city 250 xxx 8%
13%
a1.00 Atlanta 2000 center city 210 xxx 9%
12%
a2.00 Atlanta 1970 center city 100 xxx 7%
8%
a2.00 Atlanta 1980 center city 200 xxx 6%
7%
a2.00 Atlanta 1990 center city 250 xxx 6%
7%
a2.00 Atlanta 2000 center city 300 xxx 5%
6%
. . . . . . .
.
. . . . . . .
.
a100.00 Atlanta 1970 suburbs 100 7%
8%
a100.00 Atlanta 1980 suburbs 200 xxx 6%
7%
a100.00 Atlanta 1990 suburbs 250 xxx 6%
7%
a100.00 Atlanta 2000 suburbs 300 xxx 5%
6%
. . . . . . .
.
. . . . . . .
.
p1.00 Portland 1970 center city 200 7%
10%
p1.00 Portland 1980 center city 300 xxx 8%
11%
p1.00 Portland 1990 center city 250 xxx 8%
13%
p1.00 Portland 2000 center city 210 xxx 9%
12%
. . . . . . .
.
. . . . . . .
.
p150.00 Portland 1970 suburbs 100 7%
8%
p150.00 Portland 1980 suburbs 200 xxx 6%
7%
p150.00 Portland 1990 suburbs 250 xxx 6%
7%
p150.00 Portland 2000 suburbs 300 xxx 5%
6%
. . . . . . .
.
. . . . . . .
.
. . . . . . .
.
. . . . . . .
.
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