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  • Ordered Logit for panel data in Stata

    Hi,

    I have a dependent variable which is ordinal and the independent and control variables are continuous and categorical while the instruments are continuous.

    I checked the Stata Menu: Statistics -> Endogenous Covariates -> Panel Data but am unable to find an option to perform ordinal logit on panel data with endogenous covariates.

    Can someone please guide me how to perform it in Stata? I have noticed this type of model in research papers so I do think it is possible in Stata.

    Any guidance is very much appreciated.

    Thank you.

  • #2
    How many levels does the dependent variable have? Probably easiest to treat it as continuous and do linear IV regression.

    Code:
    help xtivreg

    I have noticed this type of model in research papers so I do think it is possible in Stata.
    Can you provide a reference?

    Comment


    • #3
      Nitin, you could consider using xteoprobit and fit an ordered probit model with endogenous regressors, see:

      https://www.stata.com/manuals/ermeoprobit.pdf

      Comment


      • #4
        Originally posted by Joerg Luedicke (StataCorp) View Post
        Nitin, you could consider using xteoprobit and fit an ordered probit model with endogenous regressors, see:

        https://www.stata.com/manuals/ermeoprobit.pdf
        Thank you, Joerg.

        Comment


        • #5
          Originally posted by Andrew Musau View Post
          How many levels does the dependent variable have? Probably easiest to treat it as continuous and do linear IV regression.

          Code:
          help xtivreg



          Can you provide a reference?
          Hello Andrew, There are 3 levels only. So, I am not sure if it would be fine to treat it as a continuous variable.

          Comment


          • #6
            Originally posted by Nitin Jain View Post

            Hello Andrew, There are 3 levels only. So, I am not sure if it would be fine to treat it as a continuous variable.
            No, that is too few.

            Comment

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