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  • Breusch-Pagan and Hausman

    Hi all, i have encountered a minor problem here where i've read different opinion on utilizing BP test and Hausman test.

    This is taken from literature, author test REM and FEM first using Hausman test, and got REM favorable....due to got REM, author said there is need to test REM with POLS aftermath using BP test...

    my question is, which test actually (BP/Hausman) should be employed first? because my basic is, we should use BP test first between POLS and REM....then cont with Hausman between REM and FEM..

    regarding situation taken from literature above, maybe i can say they did wrong procedure? (because they didn't follow correct order which BP test first, then go to Hausman next)..or is there got any excuses for author to use Hausman first then proceed with BP test???

    Thanks a lot.

  • #2
    Izzudin:
    I would follow the approach you suggested ((BP then -hausman-).
    Kind regards,
    Carlo
    (Stata 19.0)

    Comment


    • #3
      Thanks Carlo

      Regarding these two tests also, how to decide whether to stop at BP only or continue with Hausman?

      I mean that, is it possible if i just employ BP only? and not further with Hausman? or there is compulsory to test these two test together? because literatures ive read just explained on they used Hausman, not for BP

      Comment


      • #4
        for my situation actually, BP test suggest me to use POLS.. so, do i need to test Hausman also?

        Comment


        • #5
          Izzudin:
          what does -xtreg, fe- F-test at the foot of the outcome table tell you?
          I must also to correct my previous reply: the order of the tests should be reverted: first, compare -fe- vs -re- via -hausman-; if -re- is the specification to be used, then use BP to investigate whether there's evidence for rejectiing the null that variances across entities is zero. You may find the following article interesting: https://www.ncbi.nlm.nih.gov/pmc/art...jhpm-1-163.pdf
          Last edited by Carlo Lazzaro; 22 May 2017, 07:08.
          Kind regards,
          Carlo
          (Stata 19.0)

          Comment


          • #6
            . xtreg gdp cf nfdi inf ir ed reer, fe

            Fixed-effects (within) regression Number of obs = 55
            Group variable: countrynum Number of groups = 5

            R-sq: within = 0.1716 Obs per group: min = 11
            between = 0.1266 avg = 11.0
            overall = 0.1453 max = 11

            F(6,44) = 1.52
            corr(u_i, Xb) = -0.2639 Prob > F = 0.1945

            ------------------------------------------------------------------------------
            gdp | Coef. Std. Err. t P>|t| [95% Conf. Interval]
            -------------+----------------------------------------------------------------
            cf | .0241977 .0447395 0.54 0.591 -.0659688 .1143643
            nfdi | .3213207 .2190785 1.47 0.150 -.120203 .7628443
            inf | -.1979292 .1183671 -1.67 0.102 -.4364823 .040624
            ir | -.2436172 .1165544 -2.09 0.042 -.4785172 -.0087172
            ed | -.0478039 .0789318 -0.61 0.548 -.2068804 .1112726
            reer | .0295066 .0364351 0.81 0.422 -.0439237 .1029368
            _cons | 5.153046 4.315112 1.19 0.239 -3.543491 13.84958
            -------------+----------------------------------------------------------------
            sigma_u | 1.0839499
            sigma_e | 1.9505771
            rho | .23594751 (fraction of variance due to u_i)
            ------------------------------------------------------------------------------
            F test that all u_i=0: F(4, 44) = 1.88 Prob > F = 0.1303

            Comment


            • #7
              Izzudin:
              go POLS.
              Kind regards,
              Carlo
              (Stata 19.0)

              Comment


              • #8
                Code:
                . xtreg gdp cf nfdi inf ir ed reer, fe
                
                Fixed-effects (within) regression               Number of obs      =        55
                Group variable: countrynum                      Number of groups   =         5
                
                R-sq:  within  = 0.1716                         Obs per group: min =        11
                       between = 0.1266                                        avg =      11.0
                       overall = 0.1453                                        max =        11
                
                                                                F(6,44)            =      1.52
                corr(u_i, Xb)  = -0.2639                        Prob > F           =    0.1945
                
                ------------------------------------------------------------------------------
                         gdp |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
                -------------+----------------------------------------------------------------
                          cf |   .0241977   .0447395     0.54   0.591    -.0659688    .1143643
                        nfdi |   .3213207   .2190785     1.47   0.150     -.120203    .7628443
                         inf |  -.1979292   .1183671    -1.67   0.102    -.4364823     .040624
                          ir |  -.2436172   .1165544    -2.09   0.042    -.4785172   -.0087172
                          ed |  -.0478039   .0789318    -0.61   0.548    -.2068804    .1112726
                        reer |   .0295066   .0364351     0.81   0.422    -.0439237    .1029368
                       _cons |   5.153046   4.315112     1.19   0.239    -3.543491    13.84958
                -------------+----------------------------------------------------------------
                     sigma_u |  1.0839499
                     sigma_e |  1.9505771
                         rho |  .23594751   (fraction of variance due to u_i)
                ------------------------------------------------------------------------------
                F test that all u_i=0:     F(4, 44) =     1.88               Prob > F = 0.1303

                Comment


                • #9
                  thanks. so, no need to test for hausman? right?

                  Comment


                  • #10
                    Izzudin:
                    both specification do not reject the null that individual effect are jointly 0. Hence, you can go POLS.
                    Kind regards,
                    Carlo
                    (Stata 19.0)

                    Comment


                    • #11
                      Thanks Carlo.

                      I assume there is no need to present for Hausman test in my report then.

                      Thank you

                      Comment


                      • #12
                        Izzuddin:
                        just for the sake of completeness, I would report -hausman- test outcome, that indicates that -xtreg,re- specification outperforms -xtreg,fe- one, first;
                        then I would report BP test outcome that shows that POLS outperforms -xtreg, re-
                        Kind regards,
                        Carlo
                        (Stata 19.0)

                        Comment


                        • #13
                          Thanks Carlo.

                          I have a thinking that, why should I employ Hausman anymore? The BP test already said to use POLS. (it is another situation if the BP shows REM appropriate, then I would have employ Hausman).

                          I asked in post #1, which test do I need to do first between BP and Hausman. And the literature did wrong procedure regarding this two test.

                          So, I wonder if there is a need for me to write Hausman result if I just stop at BP since it gives me POLS

                          Comment


                          • #14
                            Izzudin:
                            I do not know what the audience of your research actually is.
                            Usually, the comparison between -xtreg, fe- and -xtreg,re- entails -hausman- specification test.
                            Its absence in a paper would sound strange.
                            Please consider that others might be interested in replication your research: hence, details about what you did are relevant.
                            Kind regards,
                            Carlo
                            (Stata 19.0)

                            Comment


                            • #15
                              Thank Carlo for the suggestion. By the way, it has crossed my mind also since i thought i would be strange not to present Hausman test as other panel studies (in my field) presented it.

                              With that I think my queries were solved.

                              Thank you very much sir Carlo for your kind reply

                              Comment

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