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From |
"Leonor Saravia" <lmisaravia@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
st: Re: Comparing means of two variables using -suest- |

Date |
Wed, 8 Oct 2008 22:49:19 -0400 |

Steve and Martin, I really appreciate your prompt responses they are very helpful and I´m incorporating them. As soon as I have some results I will be in touch with you again. Thank you very much for your help! Leonor Leonor- 1, Means of dummy variables are proportions. To further Martin's question, I am not sure what proportions you want to estimate and compare. Consider the following 2 x 2 table with n=50 for pension =1 Participate 1 0 Total Males 5 15 20 Females 10 20 30 Total 15 35 50 This translate into the following table of proportions: Participate 1 0 Total Males .1 .3 .4 Females .2 .4 .6 Total .3 .7 1.0 With your definitions, the mean of act_m is 0.10. and the mean of act_f is 0.20. Are those the numbers you want? If so, show us a similar table for pension =0 and show us what your hypothesis tests are meant to compare. 2. Your -svyset- command means that "folio" was a primary sampling unit-- the kind of unit selected in the first-stage of sampling, and that there were other units selected later. Is this correct? Were there any sampling strata? Show us the result of the -svydes- command and please describe the sampling design. 3. You did not use any -svy- commands in your analysis. However, since I am not sure what the proper analysis is, I won't try to correct your syntax yet. -Steve On Oct 7, 2008, at 5:13 AM, Martin Weiss wrote: Just out of curiosity. Why not: -proportion male female if participating == 1 & pension == 1- and compare the resulting CIs? The -if- statement records what is common to both groups, namely that they participate and that they draw a pension. HTH Martin 2008/10/7 Leonor Saravia <lmisaravia@gmail.com>: > Hello, > > I´d like to compare two means of two different groups (dummy > variables), where each one is affected by a grouping variable. I was > looking in the Stata FAQS and found that this was posible with the - > suest - command, but when I use it, it doesn´t work and I don´t know > what´s wrong. I´appreciate if you could give me some advice. > > My dummy variables are like this: > > act_m = (participating == 1 & male == 1) ; 0 otherwise > act_f = (participating == 1 & female == 1) ; 0 otherwise > pension = 1 if recieves a pension; 0 otherwise > > And I need to compare the 'act_m' mean when 'pension' == 1 with the > mean of 'act_f' when 'pension' == 1. > > What I was doing was (and didn´t work): > > svyset folio [pw = factor] > mean act_m if (hm3_hym == 1 & menor15h == 1) [fw = factorex], over(pension) > est store act_m1 > mean act_f if (hm3_hym == 1 & menor15h == 1) [fw = factorex], over(pension) > est sto act_f1 > suest act_m1 act_f1,svy > test [act_m1]pensionh [act_h1]pensionh > > The error that Stata brings is: > > suest act_m1 act_h1,svy > unable to generate scores for model act_m1 > suest requires that predict allow the score option > r(322); > > > Well, I´d appreciate very much your help! :) > > Leonor > > > > > > Thank you so much Austin!..... This has been very helpful... I appreciate it > > Regards > > Renato > > On Feb 24 2008, Austin Nichols wrote: > > > Renato <ravi0023@umn.edu>: > Try -suest- e.g. > > sysuse auto > svyset [pw=wei] > qui svy: reg len for > est sto length > qui svy: reg turn for > est sto turn > qui svy: reg tru for > est sto trunk > suest length turn trunk, svy > test [length]foreign [turn]foreign [trunk]foreign > > > On 23 Feb 2008 16:34:29 -0600, <ravi0023@umn.edu> wrote: > > I have a data base with 2 different test scores and two groups, a treatment > group and a control group. I have managed to test whether the mean of each > test scores is different among the two groups using svymean and then lincom > in this way: > > svy: mean testA, over(treatment) > lincom [testA]1-[testA]0 > > svy: mean testB, over(treatment) > lincom [testB]1-[testB]0 > > What I want to do is jointly test whether both variables (testA and testB) > are jointly statistically different among the two groups, but incorporating > the sample design in my estimation. > * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**References**:**st: Comparing means of two variables using -suest-***From:*"Leonor Saravia" <lmisaravia@gmail.com>

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