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re: st: analysis of complex surveys:
Correction: The second test statement should, of course, be:
1. To pool the results from the different surveys you may treat the
country as another stratifying variable. Assume that the name of the
within-country stratification variable is
"stratum". Then do the following:
egen superstrat=group(country stratum)
User "superstrat" as your new stratum variable.
2. To make cross-country comparisons of regression coefficients you
may also add country indicators to the regression equation. Then you
may test country-variable interactions. Alternately, you can use the
noconstant option to fit a separate set of regression coefficients
for each country. Suppose you have 2 countries, 1 and 2, and your
covariates are X and Z
I1 = 1 if country =1 =0 if Country = 2
X1= X "
Z1 = Z "
I2 = 1 if country=2 , =0 if country =1
X2= X "
Z2 =Z "
svy: reg y = I1 X1 Z1 I2 X2 Z2, nocons
Subject: st: analysis of complex surveys
I am attempting to analyze a set of complex household surveys that
standard questionnaire but were conducted in different countries
sampling methods (multistage stratification and clustering). I have
weights as well as stratification and clustering information for each
question is two-fold:
1. Is it possible to "pool" or in some way combine data across
surveys for a
fixed-effects regression analysis?
2. If I run regressions at the country-level, is there a way to make
cross-country comparisons using regression coefficients or marginal
Thanks much in advance.
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