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  • Hausman Test

    Hello,
    This is my first post so forgive me if I explain anything wrong.
    I am currently running a panel data and want to know whether to use Fixed Effects regression or a Random Effects regression, in order to do so I believe the Hausman test is the best possible way of doing this. From what I understand if the value of Prob>chi2 is above 0.05 then Random Effects should be used. However I get a value of 0.9375 which seems incredibly high, is there any explanation for this or am I doing something wrong?
    Here is the code:

    ** Fixed Effects**
    xtreg gincdif1 Immigrationfromforeigncountri RegionalDebtGDP1 UnemploymentRate lnRGDP, fe
    estimates store fixed
    ** Now we run a Random Effects**
    xtreg gincdif1 Immigrationfromforeigncountri RegionalDebtGDP1 UnemploymentRate lnRGDP, re
    estimates store random

    hausman fixed random

    Many thanks,
    Pepito

  • #2
    Welcome to the Stata Forum / Statalist,

    You may wish to take a look at threads on a similar subject, such as this as well as this one.

    Hopefully that helps.
    Best regards,

    Marcos

    Comment


    • #3
      Hello Marcos,
      Many thanks for your help, by reading the other posts as mentioned I understand that in this case the random effects model is then the one to use, and that there is not too high of a value for the test?. The random effects provides me significant results whereas the fixed effects does not, so is it wise to just disregard the fixed effects results?
      Thanks a lot.

      Comment


      • #4
        In general terms, yes, that's the explanation.

        With regards to "disregard" - or not - one model, you may also keep an eye on the specific literature and the very purpose of the analysis.
        Best regards,

        Marcos

        Comment


        • #5
          Perfect!
          Many thanks for your help.

          Comment

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