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From |
"Ángel Rodríguez Laso" <angelrlaso@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
st: Calculation of variance and standard errors in survey analysis with missing values |

Date |
Tue, 16 Sep 2008 09:43:06 +0200 |

Dear Statalisters, This question was left without an answer in August and I consider it important enough to post it again in case any of the people that could answer it were on holidays: Following the discussion in the thread 'st: Chi square test unavailable when subpop is used in svy analyisis', I come to the understanding that the exclusion of individuals with missing values from the calculation of variance estimates with 'svy: prop variable' and 'svy if variable==valid values: prop variable' is like, for example, dropping men when you need estimates only for women (using 'if' instead of 'subpop'), what is incorrect in survey analysis. Therefore, when calculating variances for valid values in a survey variable (the rest of the values being missing either because the respondent didn't answer, didn´t know the answer or the question was not applicable), 'svy, subpop(valid values): prop variable' should be used, because it takes into account all individuals (with valid and missing values) in the calculation. Is that correct? Many thanks, Ángel Rodríguez-Laso * * 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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