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  • LR test not significantly different from zero

    Hi everyone

    I ran
    Code:
     heckman saved age female account_fin inc_q emp_in educ, select(account_mob = age female inc_q emp_in educ  account_fin mobileown
    > er)
    and I got this
    Code:
    Iteration 0:   log likelihood = -731.84756  
    Iteration 1:   log likelihood = -731.84703  
    Iteration 2:   log likelihood = -731.84703  
    
    Heckman selection model                         Number of obs      =       998
    (regression model with sample selection)        Censored obs       =       576
                                                    Uncensored obs     =       422
    
                                                    Wald chi2(6)       =     25.04
    Log likelihood =  -731.847                      Prob > chi2        =    0.0003
    
    ------------------------------------------------------------------------------
                 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
    -------------+----------------------------------------------------------------
    saved        |
             age |  -.0051578   .0019571    -2.64   0.008    -.0089936    -.001322
          female |    .010929   .0427027     0.26   0.798    -.0727668    .0946248
     account_fin |   .1966438   .0570488     3.45   0.001     .0848302    .3084574
           inc_q |  -.0226961   .0187744    -1.21   0.227    -.0594933    .0141011
          emp_in |  -.0806902   .0491241    -1.64   0.100    -.1769717    .0155912
            educ |   .0449475    .036255     1.24   0.215     -.026111    .1160061
           _cons |   .8413716   .1777263     4.73   0.000     .4930345    1.189709
    -------------+----------------------------------------------------------------
    account_mob  |
             age |   -.015169   .0034509    -4.40   0.000    -.0219327   -.0084053
          female |   .1981766   .0925461     2.14   0.032     .0167896    .3795636
           inc_q |   .1759306   .0332975     5.28   0.000     .1106687    .2411924
          emp_in |  -.3053182   .0973598    -3.14   0.002      -.49614   -.1144965
            educ |   .2918701   .0637277     4.58   0.000     .1669661     .416774
     account_fin |   .5520342   .0966461     5.71   0.000     .3626113    .7414572
     mobileowner |  -.9522857   .1073431    -8.87   0.000    -1.162674    -.741897
           _cons |   .2710259    .320518     0.85   0.398    -.3571779    .8992296
    -------------+----------------------------------------------------------------
         /athrho |   .0130454    .192169     0.07   0.946    -.3635989    .3896896
        /lnsigma |  -.8678992   .0344477   -25.19   0.000    -.9354155   -.8003829
    -------------+----------------------------------------------------------------
             rho |   .0130446   .1921363                     -.3483801    .3710926
           sigma |   .4198326   .0144623                      .3924228    .4491569
          lambda |   .0054766   .0806727                      -.152639    .1635921
    ------------------------------------------------------------------------------
    LR test of indep. eqns. (rho = 0):   chi2(1) =     0.00   Prob > chi2 = 0.9463
    I am concerned with the LR test of indep.eqns which turns NOT to be significantly different from zero, because I fail to reject the null hypothesis. Does this mean that there is no self selection bias? Or can I assume that the selection and outcome equations are independent?

  • #2
    Does this mean that there is no self selection bias?
    Assuming that your exclusion restriction is valid, the implication is so. You can run OLS on the continuous sample and obtain unbiased results.

    Comment


    • #3
      Many thanks Andrew Musau

      Comment

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