Clarify

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explore some attractive russian brides

by Veninga Frymoyer

21 years

Interaction effects

by Christopher Karpowitz

I'm running Clarify in order to generate confidence intervals for a multinomial logit model with multiple interaction terms. I am able to run the estsimp portion of the Clarify commands and successfully complete the replications, but when I run the do-file I've created in order to set the values of the interaction terms, Stata crashes. (By crashing, I mean that Stata says that an error has occurred and shuts down completely.) It's not consistent in its crashing (that is, I'm sometimes able to generate a few predicted probabilities), but invariably it crashes before I have what I need. I'm attaching the portion of the do-file that is of interest. **Basic model with interactions, multiple responses excluded estsimp mlogit mip_dv black male edu01 age01 news_for news_gov news_mis news_rac news_soc news_vna b_x_for- b_x_vna m_x_for- m_x_vna ed_x_for- ed_x_vna a_x_for a_x_gov a_x_mis a_x_rac a_x_soc a_x_vna if limsamp==1, b(0) **Set values setx mean setx edu01 mean if limsamp==1 setx age01 mean if limsamp==1 setx black 0 setx male 0 tempname predprob postfile predprob pp_for_m pp_for_lo pp_for_hi newsflow educ using "c:\clarify_interact_1.dta", replace gen maxflow=.45 *Varying news vars local i=0 while `i' <=maxflow+.02 { *Adjust mean values setx edu01 0 setx news_for mn_n_for+((mn_n_for-`i')/6) setx news_vna mn_n_vna+((mn_n_for-`i')/6) setx news_gov mn_n_gov+((mn_n_for-`i')/6) setx news_rac mn_n_rac+((mn_n_for-`i')/6) setx news_soc mn_n_soc+((mn_n_for-`i')/6) setx news_mis mn_n_mis+((mn_n_for-`i')/6) local btemp=0 setx b_x_for `btemp'*news_for setx b_x_vna `btemp'*news_vna setx b_x_gov `btemp'*news_gov setx b_x_rac `btemp'*news_rac setx b_x_soc `btemp'*news_soc setx b_x_mis `btemp'*news_mis local mtemp=0 setx m_x_for `mtemp'*news_for setx m_x_vna `mtemp'*news_vna setx m_x_gov `mtemp'*news_gov setx m_x_rac `mtemp'*news_rac setx m_x_soc `mtemp'*news_soc setx m_x_mis `mtemp'*news_mis local etemp=0 setx ed_x_for `etemp'*news_for setx ed_x_vna `etemp'*news_vna setx ed_x_gov `etemp'*news_gov setx ed_x_rac `etemp'*news_rac setx ed_x_soc `etemp'*news_soc setx ed_x_mis `etemp'*news_mis summarize age01 if limsamp==1, meanonly local atemp=`r(mean)' setx a_x_for `atemp'*news_for setx a_x_vna `atemp'*news_vna setx a_x_gov `atemp'*news_gov setx a_x_rac `atemp'*news_rac setx a_x_soc `atemp'*news_soc setx a_x_mis `atemp'*news_mis **Simulate predicted probabilities and post means and confidence intervals to separate file local name=`i'*100 simqi, prval(1) genpr(pp_for_`name') summarize pp_for_`name', meanonly replace pp_for_m=r(mean) _pctile pp_for_`name', p(2.5, 97.5) replace pp_for_lo = r(r1) replace pp_for_hi = r(r2) replace newsflow=`i' post predprob(pp_for_m) (pp_for_lo) (pp_for_hi) (newsflow) (educ) local i=`i'+.05 } postclose predprob

21 years

error after dropsims

by Matthew Vile

I'm using multiple imputed survey data and clarify to test some relationships and I need to test the stability of various coefficients (I'm presuming some form of collinearity). I plan to do this by incrementally removing other predictors from the model and idenitifing those coefficients that don't react. This process requires me to make multiple calls to the estsimp command but every time I try to run a second estsimp (with a different model) after the first I get the error: r(4): no data in memory would be lost this occurs regardless of whether I include the dropsims options or not. Note: I'm running Stata 6 Matthew Vile, UNO -- Clarify mailing list served by Harvard-MIT Data Center [Un]Subscribe/View Archive: http://lists.hmdc.harvard.edu/?info=clarify

21 years

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by Matthew Gray McClosky

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21 years, 1 month

Survey regression, clarify, and standard errors

by mganz

Gary, Since -estsimp- does not support the -svyreg- command, I wonder how to encorporate corrections for survey design within the clarify package. Since clarify really computed standard errors and CIs using the empirical distribution of the simulations, does it really matter? How about survey weights if I wanted to weight the regression? Thanks, Michael -- Clarify mailing list served by Harvard-MIT Data Center [Un]Subscribe/View Archive: http://lists.hmdc.harvard.edu/?info=clarify

21 years, 1 month

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by Yenney Trotto

21 years, 1 month

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21 years, 2 months

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21 years, 3 months

RE: follow-up

by Jason Wittenberg

Karl, weibulls can be difficult to interpret because sometimes huge numbers get (randomly) drawn from the distribution. these outlier draws can result in means that are much much larger than anticipated. there are two ways you can check your work. first, try looking at the median rather than the mean. second, to see whether clarify is at fault, try using stata's "predict" command to generate predicted values. this command does not produce the same output as clarify (at least not in its default mode), but if you continue to get nonsensical results at least you will have narrowed the source of the problem. best wishes on your research! Jason At 08:27 AM 2/4/2003 +1300, you wrote: >jason: thanks for getting back to me. i eventually realized what the >problem was: clarify does not support 'streg' stata command but it does >support the 'weibull' command (i didnt know there was a weibull command). >i tried estsimp with competing risks weibull and it worked but i got >really high predicted duration times that made no sense. maybe my models >are bad. ... > >so now i am trying to figure out how to do competing risks followed by >clarify. for some reason i think problem may be if there are only a few >failures (in my case as low as 16 in a sample of 90) it becomes trickier. >any thoughts? > >regards, > > -----Original Message----- > From: Jason Wittenberg [mailto:jwittenberg@wcfia.harvard.edu] > Sent: Tue 4/02/2003 8:16 a.m. > To: Karl DeRouen > Cc: > Subject: Fwd: follow-up > > > -- Clarify mailing list served by Harvard-MIT Data Center [Un]Subscribe/View Archive: http://lists.hmdc.harvard.edu/?info=clarify

21 years, 3 months

Re: clarify and weibull

by Gary King

I suggest that you check the mean(y) after you've put the data in stata. maybe something went wrong. it should certainly be the case that the mean of the data should be around the mean of the predicted values, and those should be pretty close to (but not necessarily the same as) the expected value of Y given the mean of x. Gary King On Sat, 1 Feb 2003, Karl DeRouen wrote: > Prof King: greetings. > i am trying to run clarify in conjnction with weibull regression. > everything sees fine til i do 'simqi' then it generates an expected > value of .11 (with setx mean). > my duration variable is months of civil war and it average is 73 so an > expected value of .11 doesnt seem to make sense. am i interpreting the > E(Y) wrong? is there some sort of transformatin that must be done on the > E(Y) so it can be interpreted in months? > thanks in advance, > -- Clarify mailing list served by Harvard-MIT Data Center [Un]Subscribe/View Archive: http://lists.hmdc.harvard.edu/?info=clarify

21 years, 3 months

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