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  • Help Interpreting Results Using "nocons" Command

    Hello,

    I am a little confused about the "nocons" command. As I understand, it will drop the constant term. I am using ibn. since I want keep all the variables in the model, bu the requires using "noconstant". When I run this command:

    Code:
    global country "lngdppc_lag ibn.polity_demo2"    
    global individual "male age age_sq married divorced religious income college_edu" 
    global opt ""       
    asdoc meqrlogit fight $individual $country $opt, noconstant || ccodecow:, cov(un), nested save(H3 - The Effect of Level of Democraticness on Willingness to Fight) replace setstars(***@.001, **@.01, *@.05) tzok dec(3) cnames(Model 1) title(H3 - The Effect of Level of Democraticness on Willingness to Fight)
    I get the following results which do not have a _cons, but the user-created "asdoc" command reports this term: lns1_1_1:_cons. However, I do not understand what this means, and if it needs to be reported or not.

    Code:
    Mixed-effects logistic regression               Number of obs     =    310,418
    Group variable: ccodecow                        Number of groups  =         92
    
                                                    Obs per group:
                                                                  min =        371
                                                                  avg =    3,374.1
                                                                  max =     13,637
    
    Integration points =   7                        Wald chi2(12)     =    9503.87
    Log likelihood = -162742.26                     Prob > chi2       =     0.0000
    
    ------------------------------------------------------------------------------
           fight |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
    -------------+----------------------------------------------------------------
            male |   .6906793   .0088812    77.77   0.000     .6732725    .7080861
             age |   .0137731   .0013196    10.44   0.000     .0111867    .0163595
          age_sq |  -.0002313   .0000141   -16.36   0.000     -.000259   -.0002036
         married |   .2968113   .0887262     3.35   0.001     .1229111    .4707115
        divorced |    .175669   .0887919     1.98   0.048     .0016401    .3496979
       religious |  -.6418332   .0166147   -38.63   0.000    -.6743975    -.609269
          income |  -.0023552   .0016195    -1.45   0.146    -.0055294    .0008189
     college_edu |  -.0719106   .0100945    -7.12   0.000    -.0916955   -.0521258
     lngdppc_lag |  -.6262017   .0173671   -36.06   0.000    -.6602406   -.5921628
                 |
    polity_demo2 |
              1  |   6.699032   .2104093    31.84   0.000     6.286637    7.111426
              2  |   6.590388   .2128285    30.97   0.000     6.173252    7.007524
              3  |   6.451505   .2145495    30.07   0.000     6.030996    6.872014
    ------------------------------------------------------------------------------
    
    ------------------------------------------------------------------------------
      Random-effects Parameters  |   Estimate   Std. Err.     [95% Conf. Interval]
    -----------------------------+------------------------------------------------
    ccodecow: Identity           |
                      var(_cons) |    1.02656   .1550357      .7635409    1.380183
    ------------------------------------------------------------------------------
    LR test vs. logistic model: chibar2(01) = 25271.80    Prob >= chibar2 = 0.0000
    On a final note, I have heard it is important to include a constant term in the results table, but if I am using "nocons", what should I do? Also, does it matter if the constant term is not significant although the predictors and the model's overall fit are significant?

    Any thoughts and/or suggestions are appreciated.

    Cheers,

    Ray
    Stata 16MP

  • #2
    noconstant is an option, not a command. I am here pinging Attaullah Shah who is the author of asdoc (from SSC), as your question seems mostly about that command.

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