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Why do I get the error message “outcome does not vary” when I perform a logistic or logit regression?

Answer

You probably have a dependent variable that is coded as 1 and 2 for the two outcomes

        1       the event did not occur
        2       the event did occur

Stata wants the coding

        0       the event did not occur
        1       the event did occur

All you have to do to fix the problem is

. replace dep_var = dep_var - 1

We create variable y and code it as 1 and 2, and this produces the error message. After recoding the variable, we fit the model.

Here is an example:

. sysuse auto
(1978 Automobile Data)

. gen y=foreign+1

. codebook y


 
y                                                                    (unlabeled)
 

                  Type: Numeric (float)

                 Range: [1,2]                         Units: 1
         Unique values: 2                         Missing .: 0/74

            Tabulation: Freq.  Value
                           52  1
                           22  2


. capture noisily logit y price weight, nolog
outcome does not vary; remember:
                                  0 = negative outcome,
        all other nonmissing values = positive outcome


. replace y=y-1
(74 real changes made)

. logit y price weight, nolog

Logistic regression                                     Number of obs =     74
                                                        LR chi2(2)    =  54.11
                                                        Prob > chi2   = 0.0000
Log likelihood = -17.976341                             Pseudo R2     = 0.6008



           y 
 
 Coefficient  Std. err.      z    P>|z|     [95% conf. interval]
 
 
 
       price 
 
   .0009296   .0002999     3.10   0.002     .0003418    .0015174
      weight 
 
  -.0058785   .0016986    -3.46   0.001    -.0092078   -.0025493
       _cons 
 
   9.000473   2.627577     3.43   0.001     3.850517    14.15043

Details

The coding

        0       the event did not occur
        1       the event did occur

is just an example of the type of coding Stata requires. Stata actually assumes the dependent variable is of the form

         0      the event did not occur
      nonzero   the event did occur 

and draws no distinction between the nonzero numbers. Thus, if you had a dependent variable that recorded the number of times an event occurred and you now wanted to analyze simply whether the event occured 1 or more times, you could use that count variable as a dependent variable with logistic, logit, or probit.