| Re: Comparing variables across different years [message #4144 is a reply to message #4142] |
Tue, 07 April 2015 18:38   |
Reduced-For(u)m
Messages: 292
Registered: March 2013
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Senior Member |
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One way to think about it: you could pool the datasets (append them together) and regress on a constant and a dummy variable for "surveyed in 2011". The coefficient on the survey year dummy is the difference between the two means and you could do a t-test of the coefficient equals 0 (you could also run the regression with no constant and just a dummy for each survey year and those would give you the means of the two survey years, and then you can test the equality of the coefficients with an F-test). That would let you use account for survey design in both years (provided you fixed your PSUs to be survey-specific and de-normalized your weights appropriately, though the re-normalizing may be less important for two surveys from the same country if they are similarly sized samples and similar designs).
You could do this separately for men/women, or you could make a dummy for each group (genderXyear) and put them all in one regression and then test the coefficients of interest with post estimation commands (you would use "test" in Stata).
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