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  • #16
    Thanks a lot for the comments and help.
    I will try to use the Mundlak method, thanks for the advice Williams!

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    • #17
      Dear all,

      I just read your posts about endogeneity.
      In my case, I am analyzing a matched panel data through conditional logistic models (clogit distress_ prof fe re, group(match_) and I think that there may be a two-way relationship between the dependent and one independent variable.
      Could anyone tell me how we could do an endogeneity test in our model?
      Thank you in advance.

      Alba

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      • #18
        Hi guys

        Is it correctly understood, that xtoverid can be used after running a RE regression, such as
        Code:
         xtreg y x1 x1...xn, re
        ?
        With the hausman command I would need to estimate store after having run both and FE and RE model. But it seems that I can test whether I should use RE or FE without any regards to the FE model when using xtoverid as a kind of post estimation command?

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        • #19
          Mads:
          you're correct,
          -xtoverid- re-estimates a fixed effect regression itself: hence, providing robustified/clustered -xtreg, re- equation is enough for making the comparison running.
          Kind regards,
          Carlo
          (Stata 19.0)

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          • #20
            Originally posted by Carlo Lazzaro View Post
            Mads:
            you're correct,
            -xtoverid- re-estimates a fixed effect regression itself: hence, providing robustified/clustered -xtreg, re- equation is enough for making the comparison running.
            Hey Carlo
            Thanks for your answer! I have an additional question. (The following is mainly based on Wooldridge 2016)
            This debate/thread concerns itself with the choice between a Fixed Effect model and a Random Effect model. I thought that the choice was Fixed effects or First difference against Random Effects or Pooled OLS. So if i based on the xtoverid command decide against Random Effects, how should I choose between Fixed Effects and First difference?

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            • #21
              Mads:
              why bothering yourself with first difference when -xtreg,fe- is available?
              Kind regards,
              Carlo
              (Stata 19.0)

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              • #22
                Because I was under the impression that Fixed Effects in only more efficient than First Difference when Uit is serially uncorrelated. I am not sure how to test whether that's the case?

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                • #23
                  Mads:
                  what if you run -xtreg, fe- with roubustify/cluster your standard errors on -panelid- and compare your coefficients with those obtained with first difference?
                  Kind regards,
                  Carlo
                  (Stata 19.0)

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                  • #24
                    Following the trend on choice of FE or RE, Can one conclude that the use of generalized Hausman test is less appropriate in comparison with xtoverid

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                    • #25
                      Peter:
                      as per -xtoverid- helpfile, it does not seem necessarily so.
                      However, there are situations in which -xtoverid- clearly outpeforms -hausman- (e.g., comparing -fe- vs -re- specification with robustified/clustered stndard errors).
                      Kind regards,
                      Carlo
                      (Stata 19.0)

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