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Dear Gary,
Stata provides facilities to analyze complex survey data, but clarify don't
incorporate corrections for survey design (except the command options
"pweight" and "cluster").
I saw a discussion on the topic in the list. There, you argue that "If you
are estimating causal effects, then you almost surely do not need the sample
weights. The only issue is if the weights are a potential omitted variable
that is causally prior to your key causal variable and correlated with it
and the dependent variable." However, my advisor recommends me to use the
svy utilities arguing that they prevent from bias and (in)efficiency. Is
there a piece to justify why I do not need sample weights? The same apply to
clustering and stratification?
Kind regards,
Javier
Dear List Users,
In Stata, many commands such as diagnostics for hetereskedasticiy,
multicollinearity, and the like are run after reg. This is not possible
after estsimp with Clarify. ...Any advice?
Many thanks,
Stan
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Stanislav Markus | Ph.D. Candidate
smarkus(a)fas.harvard.edu | Harvard University
+1.617.771.4670 | Department of Government
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Hi,
I have stuck with simqi on a subsample after estsimp with multiply imputed datasets. The datasets contain both males and females aged 20 and over from 1986 to 2002.
I am going to predict blood pressure (outcome variable) for a subsample of females aged 30-34 in 1986. I did estsimp on a subsample of females of all ages from 1986 to 2002, and set independent variables at their means by setx for the subsample of females aged 30-34 in 1986. However, simqi derives predicted values not for these females but for a part of males only (200 out of 90554 males of all ages in all years). I understand that "if" command specified in estsimp or setx would be automatically considered in simqi. I wonder if it occurs because simulated parameters were added to the first 1000 records in one of the multiply-imputed datasets opended befofre estsimp. But I cannot find any solution. I would be absolutely grateful if you could please give me any idea.
Followig are simplified commands;
xi: estsimp reg bp i.age5 bmi i.exerc med i.year if sex==1, mi(out1 out2 out3 out4 out5)
setx mean if sex==1 & year==1986 & age5==30
simqi, genpv(bp)
(bp, blood pressure; age5, 5-year age groups; bmi, BMI; exerc, exercise (0/1); med, probability of being medicated; year, survey year)
Thank you in advance for your help.
Sincerely yours,
Nayu
Nayu Ikeda
Visiting Scientist
INSTITUTE FOR HEALTH METRICS AND EVALUATION
University of Washington
Seattle, Washington, USA
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Dear all,
I would like to point my students to this instructive video you once
produced about the presentation Mike and Jason gave as a APSA short
course. Is this still available? The link on Gary's clarify page does
not seem to work and I was not able to find it somewhere else on the web.
Best,
Thomas
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Hi clarify
Emergency report. Check DMXC!
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Hi clarify
Emergency report. Check DMXC!
5 day price: ~$0.50
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Hi all-
I'm trying to use clarify to produce predicted probabilities after
estimating an ordered probit. However, it seems that Clarify 2.1 no
longer allows the option of estimating predicted probabilities using
the sumqi command. I've been entering
sumqi b1 b2 b3 b4 b5, pr
only to be told that that option is not allowed.
So, how does one compute predicted probabilities using 2.1?
Thanks,
Chris O'Keefe
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