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  • #16
    Hello All,

    Is there any way by means of which I can do weak instruments checking for multiple endogenous regressors...like in my case....as stock-yogo is giving me some values like shown below and not sure how to interpret these results
    Stock-Yogo weak ID F test critical values for single endogenous regressor:
    5% maximal IV relative bias 16.85
    10% maximal IV relative bias 10.27
    20% maximal IV relative bias 6.71
    30% maximal IV relative bias 5.34
    10% maximal IV size 24.58
    15% maximal IV size 13.96
    20% maximal IV size 10.26
    25% maximal IV size 8.31

    Your reply is highly appreciated.

    Comment


    • #17
      Sujata:
      you report neither the F-test, nor the minimum eigenvalue statistic that you should have obtained from something like:
      Code:
      estat firststage
      Hence, it is impossible to help you out.
      Kind regards,
      Carlo
      (Stata 19.0)

      Comment


      • #18
        Yes..I am sorry for not doing this. Here are my results:
        Minimum eigenvalue statistic = 6.48742

        Critical Values # of endogenous regressors: 2
        Ho: Instruments are weak # of excluded instruments: 4
        ---------------------------------------------------------------------
        | 5% 10% 20% 30%
        2SLS relative bias | 11.04 7.56 5.57 4.73
        -----------------------------------+---------------------------------
        | 10% 15% 20% 25%
        2SLS Size of nominal 5% Wald test | 16.87 9.93 7.54 6.28
        LIML Size of nominal 5% Wald test | 4.72 3.39 2.99 2.79
        ---------------------------------------------------------------------


        Comment


        • #19
          Sujata:
          you can not reject the null of weak instruments for most of the 2SLS nominal 5% Wald test relative biases.
          Kind regards,
          Carlo
          (Stata 19.0)

          Comment


          • #20
            Thank you so very much for this answer..can I presume that I will be able to reject null if my eigenvalue is more than 10 or something greater than 16?

            Comment


            • #21
              In relation to the last question, if I am getting something like the one given below, can I reject null?
              Minimum eigenvalue statistic = 11.7795

              Critical Values # of endogenous regressors: 2
              Ho: Instruments are weak # of excluded instruments: 4
              ---------------------------------------------------------------------
              | 5% 10% 20% 30%
              2SLS relative bias | 11.04 7.56 5.57 4.73
              -----------------------------------+---------------------------------
              | 10% 15% 20% 25%
              2SLS Size of nominal 5% Wald test | 16.87 9.93 7.54 6.28
              LIML Size of nominal 5% Wald test | 4.72 3.39 2.99 2.79
              ---------------------------------------------------------------------


              Comment


              • #22
                Can you pls respond Carlo Lazzaro Prof...I am sorry but my submission deadline is near and I am stuck at this point

                Comment


                • #23
                  I also tried weakiv test and below is the result: not sure whether we need to look at ARchi2(2) value and can safely reject null
                  ----------------------------------------
                  Test | Statistic p-value
                  ------+---------------------------------
                  CLR | stat(.) = 13.25 0.0000
                  K | chi2(2) = 10.74 0.0047
                  J | chi2(2) = 2.03 0.3616
                  K-J | <n.a.> 0.0058
                  AR | chi2(4) = 12.77 0.0124
                  ------+---------------------------------
                  Wald | chi2(2) = 10.86 0.0044
                  ----------------------------------------


                  Comment


                  • #24
                    Sorry the results with weakiv is as below:
                    ----------------------------------------
                    Test | Statistic p-value
                    ------+---------------------------------
                    CLR | stat(.) = 9.22 0.0081
                    K | chi2(2) = 7.28 0.0262
                    J | chi2(2) = 10.26 0.0059
                    K-J | <n.a.> 0.0295
                    AR | chi2(4) = 17.54 0.0015
                    ------+---------------------------------
                    Wald | chi2(2) = 7.27 0.0264
                    ----------------------------------------

                    Comment


                    • #25
                      Sujata:
                      I do not get why minimum eigenvalue statistic changed.
                      That said, with a minimum eigenvalue statistic=11.7795 you can reject the null of weak instruments at the 2SLS nominal 10% Wald test relative bias.
                      I'm not famliar with the community-contributed module (as you're kindly requested tomention it as per FAQ) -weakiv-.
                      Kind regards,
                      Carlo
                      (Stata 19.0)

                      Comment


                      • #26
                        Thank you so very much...no the eigen value statistic did not change but I made a mistake in selecting one of the variables. However, since I cannot reject null at 5%, would this result be acceptable? I mean if I am not wrong, I think it depends on the level of bias we would like to accept...but would be curious to know what the research fraternity thinks?

                        Comment


                        • #27
                          Also, I feel that I did something wrong with the weakiv command..so I feel it will be good for me to go with estat firststage...however, it will be great if I can get any idea from you regarding the accepting level for rejecting null

                          Comment


                          • #28
                            Sujata:
                            most of your previous queries depends on the traditions in force in your research field.
                            Kind regards,
                            Carlo
                            (Stata 19.0)

                            Comment


                            • #29
                              I really can't thank you enough Carlo Lazzaro Prof and Joro Kolev Prof for your helpful comments and suggestions....it worked for me.

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