Dear all,

I have run into a problem trying to replicate some code from Stata 16 in Stata 15. Do you have any idea of what might be going on? I read the update notes and could not identify why this is happening.

Here you have the code that works in Stata 16.

Code:
. * Using Stata SE 16.1
. 
. sysuse auto.dta, clear
(1978 Automobile Data)

. 
. recode rep78 (2=1) (3/5=0)
(rep78: 67 changes made)

. 
. probit rep78 mpg headroom

Iteration 0:   log likelihood = -28.552789  
Iteration 1:   log likelihood = -27.844339  
Iteration 2:   log likelihood = -27.837343  
Iteration 3:   log likelihood = -27.837342  

Probit regression                               Number of obs     =         69
                                                LR chi2(2)        =       1.43
                                                Prob > chi2       =     0.4890
Log likelihood = -27.837342                     Pseudo R2         =     0.0251

------------------------------------------------------------------------------
       rep78 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         mpg |  -.0482431    .043335    -1.11   0.266    -.1331782     .036692
    headroom |  -.0784669   .2285802    -0.34   0.731    -.5264758     .369542
       _cons |    .168579   1.340746     0.13   0.900    -2.459235    2.796393
------------------------------------------------------------------------------

. 
. local c2_apath_coef = round(r(table)[1,1], .01)

. 
. di `c2_apath_coef'
-.05

. 
end of do-file
Here the same code that generates an error in Stata 15

Code:
. * Using Stata SE 15.1
. 
. sysuse auto.dta, clear
(1978 Automobile Data)

. 
. recode rep78 (2=1) (3/5=0)
(rep78: 67 changes made)

. 
. probit rep78 mpg headroom

Iteration 0:   log likelihood = -28.552789  
Iteration 1:   log likelihood = -27.844339  
Iteration 2:   log likelihood = -27.837343  
Iteration 3:   log likelihood = -27.837342  

Probit regression                               Number of obs     =         69
                                                LR chi2(2)        =       1.43
                                                Prob > chi2       =     0.4890
Log likelihood = -27.837342                     Pseudo R2         =     0.0251

------------------------------------------------------------------------------
       rep78 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         mpg |  -.0482431    .043335    -1.11   0.266    -.1331782     .036692
    headroom |  -.0784669   .2285802    -0.34   0.731    -.5264758     .369542
       _cons |    .168579   1.340746     0.13   0.900    -2.459235    2.796393
------------------------------------------------------------------------------

. 
. local c2_apath_coef = r(table)[1,1], .01)
invalid syntax
r(198);