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From |
"Sarah Tougher" <Sarah.Tougher@lshtm.ac.uk> |

To |
"Maarten Buis" <maartenlbuis@gmail.com>, <statalist@hsphsun2.harvard.edu> |

Subject |
Re: st: Testing whether two estimated survey means are statistically different (Out of office) |

Date |
Thu, 20 Oct 2011 09:59:32 +0100 |

I am out of the office until November 7th. I have intermittent access to email, but will try to return your message as soon as possible. >>> Maarten Buis <maartenlbuis@gmail.com> 10/20/11 09:58 >>> On Wed, Oct 19, 2011 at 11:33 PM, Andrew Wade <awade@allenconsult.com.au> wrote: > Presumably the regression approach, where you have a single dummy for the sub-population, will be identical (or near identical) to: > - estimating svy: mean with over command (ie. mean for sub-population, and not in sub-population). > - lincom after svy: mean. > > Or could the regression approach be applied, whereby you suppress the constant term? > Wouldn't this alternate regression approach be closer to what I'm after? In terms of coefficients, yes, but in terms of test, no. These two test are truely equivalent, meaning they contain exactly the same information and nothing is gained by chosing one over the other. Think of it this way: You can say Adam has 3 and Berta has 2 more (constant is 3 and the coefficient of Berta is 2) or you can say Adam has 3 and Berta has 5 (suppress the constant and add dummies for Adam and Berta). The two statements contain exactly the same information. The only reason for prefering one over the other is ease of explanation. Sometimes we have hypotheses or traditions within a (sub-)discipline which would make it easier for your audience to understand one parameterization over the other. Hope this helps, Maarten -------------------------- Maarten L. Buis Institut fuer Soziologie Universitaet Tuebingen Wilhelmstrasse 36 72074 Tuebingen Germany http://www.maartenbuis.nl -------------------------- * * 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/ * * 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/

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