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  • Survey Design

    Could anybody help me with survey data analysis? I use data from Life in Kyrgyzstan survey. But have a priblem with identification survey settings. In description of sampling mehodology I found:
    " The original 3,000 households were drawn through stratified two-stage random sampling. The strata are formed by Bishkek city, Osh city, and the rural and urban areas of the
    seven oblasts, amounting to a total of 16 strata. At the first stage, a set of so-called population points (i.e. communities in rural areas, quarters in urban areas) were drawn in
    each stratum according to probabilities proportionate to population size. At the second stage, 25 households were drawn in each population point.
    The sample selection was conducted by the National Statistical Committee (NSC) of the Kyrgyz Republic based on the 2009 Population Census data. NSC also prepared reserve
    samples of households, ranging from 20 percent of the sample in rural areas to 100 percent in violence-affected areas in the southern part of the country. As only 73 percent
    of the households from the original sample list were found and interviewed, 27 percent of households were drawn from the reserve samples."
    In dataset I have oblast and psu, but data on fpc are missing. So the question is what parametres to use. Without fpc and weghts stata can not correctly identify standard errors. Should I find them by myself?
    Thank in advance.
    I am sorry for my question might seem to be primitive but I do not know how to solve it.

  • #2
    This is a good question. fpc and weights are absent for good reason: Because the sampling fractions are tiny, an fpc would have an unnoticeable effect on standard errors. The weights are needed only if sampling fractions differ between individuals. In this study, the the sampling design ensures equal sampling fractions and therefore equal weights (study FAQ). So you don't need either. Just svyset with psu and strata() options.

    Good luck!


    Steve Samuels
    Statistical Consulting
    [email protected]

    Stata 14.2

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    • #3
      Dear Steve,
      Thank you. I will do as you said.
      Best wishes!

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