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  • aweights in binary logit regressions

    I have learnt that since Stata 10.1, the use of analytical weights were removed due to their interpretational difficulties. When running a regression while still hoping to correct for sampling issues, what weights should one use? aweights return an error message with Stata 13.

    Code:
    . logit povertydmy hhage hhage2 hhsize educyrs i.gender i.marstat i.resplace [aw=weight]
    aweight not allowed
    r(101);

  • #2
    George:
    perhaps -pweight- is what you're interested in.
    Kind regards,
    Carlo
    (StataNow 18.5)

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    • #3
      Technically, what do person weights correct for? I see from help pweights that they are the inverse of probability that an observation is there of sampling design..

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      • #4
        George:
        from -help weight-:
        pweights, or sampling weights, are weights that denote the inverse of the probability that the observation is included because of the sampling design.
        .

        I guessed it was interesting for you as you stated you were experiencing sampling issue.
        Otherwise, take a look at -fweights-, if you have grouped observations.
        Kind regards,
        Carlo
        (StataNow 18.5)

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        • #5
          See this discussion on the DHS user forum for information about weights. The DHS experts recommend pweights.

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          • #6
            Really helpful direction. Thank you very much.

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