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  • Mlogit VIF

    Hi everyone,

    I am having a problem in calculating VIFs for a multinomial logit. My dependent variable contains 3 alternatives for a mlogit. Bivariate correlations of the sample show values over 0.7, therefore I want to test for multicollinearity with VIFs. However using the "vif" command does not work for mlogits. Is there another possibility to calculate VIFs for a mlogit?
    I read that a linear regression is sufficient in that case, but should I include the 3 alternatives of the independet variable into the linear regression or just test the independet variables. Another source even said it is fine to treat the categorial dependet variable as continous for the linear regression.
    Has anyone dealt with this before?

    Thank you for your help and kind regards,
    ​​​​​​​Peter

  • #2
    VIFs are on the Xs. I suspect you could run it reg and then VIF.

    You can also create VIFs by hand by regressing X1 on the other X's, one at a time, and using the R2 to get the VIF.

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    • #3
      Phil Ender has a nice routine called collin that computes several collinearity measures.

      net describe collin, from(https://stats.oarc.ucla.edu/stat/stata/ado/analysis)

      This handout discusses how to detect and deal with multicollinearity.

      https://www3.nd.edu/~rwilliam/stats2/l11.pdf

      Incidentally, many feel that concerns about multicollinearity are often unwarranted.

      -------------------------------------------
      Richard Williams
      Professor Emeritus of Sociology
      University of Notre Dame
      StataNow Version: 19.5 MP (2 processor)

      EMAIL: [email protected]
      WWW: https://academicweb.nd.edu/~rwilliam/

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      • #4
        Peter:
        probably Richard alludes to A Course in Econometrics — Harvard University Press , Chapter 23.
        Kind regards,
        Carlo
        (Stata 19.0)

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