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  • Negative hausman test

    Hello Stata-fan

    I am conducting a research with a xtpoisson regression. Now I have performed a hausman test (without exposure or robust which I do need in the regression) to determine whether I should use an FE or RE model. As a result I get a negative chi (-20) which is actually not possible in theory. Now I'm wondering how to determine which model (FE or RE) I need. In my mind, an FE model seems more appropriate as the dependent variable is the number of pharmaceutical companies in a country.

    Thank you
    Ward Bruurs

  • #2
    Ward:
    a negative -hausman- outcome tells you that you cannot reject the null (see Example 2, -hausman- entry, Stata .pdf manual, page 1032).
    However, if you go -robust-, you cannot do -hausman-.
    Kind regards,
    Carlo
    (StataNow 18.5)

    Comment


    • #3
      This is an interesting problem.

      Ward Bruurs, I suggest you use FE because it is a much more robust estimator (Wooldridge, 1999).

      Carlo Lazzaro, thanks for pointing out that example. An alternative interpretation is that under the null the test has a chi-2 distribution and therefore a negative value is evidence that the null is not valid. Maybe others can provide additional references?

      Best wishes,

      Joao

      Comment


      • #4
        Just downloaded (with only a quick glance given) The Hausman Test Statistic can be Negative even Asymptotically (degruyter.com)
        Kind regards,
        Carlo
        (StataNow 18.5)

        Comment


        • #5
          Carlo Lazzaro Joao Santos Silva

          Thank you very much for the clarification and sources.

          Comment


          • #6
            Thank you very much, Carlo Lazzaro; that seems to confirm the view that a negative test statistic is not compatible with the null.

            Best wishes,

            Joao

            Comment


            • #7
              Joao Santos Silva: you're right! Thanks for starting this interesting literature-based debate (far to be solved, I fear).
              Kind regards,
              Carlo
              (StataNow 18.5)

              Comment

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