Dear all Stata users,

I have been trying to do postestimation for a ordered probit model for each of my 3 possible outcomes, but I keep getting error messages:

outcome() must either be a value of status,
or #1, #2, ...

outcome 1 not found
outcome() must either be a value of status,
or #1, #2, ...

So, if anyone could help me with this issue, I appreciate it.

And one more question: What is the interpretation for \cut1, cut2, and so.

That's' my code and data:

Code:
* Ordered probit model marginal effects
margins, dydx(*) atmeans predict(outcome(1))
margins, dydx(*) atmeans predict(outcome(2))
margins, dydx(*) atmeans predict(outcome(3))

//Ordered probit model predicted probabilities
predict p1oprobit, pr outcome(1)
predict p2oprobit, pr outcome(2)
predict p3oprobit, pr outcome(3)
//summarize p1oprobit p2oprobit p2oprobit
//tabulate status
----------------------- copy starting from the next line -----------------------
Code:
* Example generated by -dataex-. To install: ssc install dataex
clear
input byte(status boy) float age int income byte govaid float night double(lib sci comp sports tage tagesd twom) float(stu_staff_ratio noatte) double(sroom child element) str4 truancy_status
3 1 15.3    . 0 0 1 1 1 0 43.54 10.11 81.08 .8372093  65 18 1 1 "high"
3 1 16.3    . 0 0 1 1 1 0 43.54 10.11 81.08 .8372093  85 25 1 1 "high"
2 1 16.6    . 0 0 1 1 1 0 43.54 10.11 81.08 .8372093  51 18 1 1 "med" 
2 0 16.1    . 0 0 1 1 1 0 43.54 10.11 81.08 .8372093 164 18 1 1 "med" 
3 1 15.8    . 0 0 1 1 1 0 43.54 10.11 81.08 .8372093  15 25 1 1 "high"
3 0 15.8    . 0 0 1 1 1 0 43.54 10.11 81.08 .8372093  16 18 1 1 "high"
2 1 15.4    . 0 0 1 1 1 0 43.54 10.11 81.08 .8372093  87 18 1 1 "med" 
3 0 15.5    . 0 0 1 1 1 0 43.54 10.11 81.08 .8372093  55 25 1 1 "high"
3 0 15.9    . 0 0 1 1 1 0 43.54 10.11 81.08 .8372093  35 18 1 1 "high"
3 0 16.7    . 0 0 1 1 1 0 43.54 10.11 81.08 .8372093  65 25 1 1 "high"
3 0 15.9    . 0 0 1 1 1 0 43.54 10.11 81.08 .8372093  52 18 1 1 "high"
3 0 15.2  800 0 0 1 1 1 0 43.54 10.11 81.08 .8372093  60 18 1 1 "high"
3 1 15.1    . 0 0 1 1 1 0 43.54 10.11 81.08 .8372093  17 25 1 1 "high"
3 0 15.7    . 0 0 1 1 1 0 43.54 10.11 81.08 .8372093  44 18 1 1 "high"
3 0 15.8    . 0 0 1 1 1 0 43.54 10.11 81.08 .8372093  76 18 1 1 "high"
3 0 15.9    . 0 0 1 1 1 0 43.54 10.11 81.08 .8372093  57 25 1 1 "high"
2 0 17.5    . 0 0 1 1 1 0 43.54 10.11 81.08 .8372093 203 25 1 1 "med" 
3 0 15.2    . 0 0 1 1 1 0 43.54 10.11 81.08 .8372093  20 25 1 1 "high"
3 0 15.9    . 0 0 1 1 1 0 43.54 10.11 81.08 .8372093  30 25 1 1 "high"
3 1 15.5    . 0 0 1 1 1 0 43.54 10.11 81.08 .8372093  88 25 1 1 "high"
3 0 15.9    . 0 0 1 1 1 0 43.54 10.11 81.08 .8372093  54 25 1 1 "high"
2 1 17.1    . 0 0 1 1 1 0 43.54 10.11 81.08 .8372093 146 25 1 1 "med" 
2 0 17.6    . 0 0 1 1 1 0 43.54 10.11 81.08 .8372093  72 25 1 1 "med" 
2 1 16.3    . 0 0 1 1 1 0 43.54 10.11 81.08 .8372093  93 18 1 1 "med" 
2 0 16.7    . 0 0 1 1 1 0 43.54 10.11 81.08 .8372093  58 25 1 1 "med" 
3 1 15.3    . 0 0 1 1 1 0 43.54 10.11 81.08 .8372093  36 18 1 1 "high"
2 0 15.9    . 0 0 1 1 1 0 43.54 10.11 81.08 .8372093 142 25 1 1 "med" 
3 1 15.3    . 0 0 1 1 1 0 43.54 10.11 81.08 .8372093  30 18 1 1 "high"
2 1   16    . 0 0 1 1 1 0 43.54 10.11 81.08 .8372093 177 25 1 1 "med" 
1 1 16.4  700 0 0 1 1 1 0 43.54 10.11 81.08 .8372093   . 18 1 1 "low" 
2 1 15.6    . 0 0 1 1 1 0 43.54 10.11 81.08 .8372093  92 25 1 1 "med" 
2 1   17    . 0 0 1 1 1 0 43.54 10.11 81.08 .8372093 185 25 1 1 "med" 
2 1 16.1    . 0 0 1 1 1 0 43.54 10.11 81.08 .8372093  77 25 1 1 "med" 
2 0 15.8    . 0 0 1 1 1 0 43.54 10.11 81.08 .8372093  63 25 1 1 "med" 
3 1 16.1    . 0 0 1 1 1 0 43.54 10.11 81.08 .8372093  39 18 1 1 "high"
3 0 14.9    . 0 0 1 1 1 0 43.54 10.11 81.08 .8372093  23 25 1 1 "high"
3 0 16.8    . 0 0 1 1 1 0 43.54 10.11 81.08 1.767442  82 19 1 1 "high"
3 0 17.7    . 0 0 1 1 1 0 43.54 10.11 81.08 1.767442  57 19 1 1 "high"
3 0 16.9    . 0 0 1 1 1 0 43.54 10.11 81.08 1.767442  34 19 1 1 "high"
3 0 18.6    . 0 0 1 1 1 0 43.54 10.11 81.08 1.767442  79 31 1 1 "high"
3 0 15.2    . 0 0 1 1 1 0 43.54 10.11 81.08 1.767442  21 14 1 1 "high"
3 1 15.1    . 0 0 1 1 1 0 43.54 10.11 81.08 1.767442  22 31 1 1 "high"
3 1 15.8    . 0 0 1 1 1 0 43.54 10.11 81.08 1.767442  56 31 1 1 "high"
3 1 15.7    . 0 0 1 1 1 0 43.54 10.11 81.08 1.767442  65 31 1 1 "high"
3 1 15.9 1000 0 1 1 1 1 0 43.54 10.11 81.08 1.767442  38 17 1 1 "high"
3 0 16.9    . 0 1 1 1 1 0 43.54 10.11 81.08 1.767442  30  3 1 1 "high"
2 0 18.4    . 0 0 1 1 1 0 43.54 10.11 81.08 1.767442 118 31 1 1 "med" 
3 0 15.9    . 0 0 1 1 1 0 43.54 10.11 81.08 1.767442  18 19 1 1 "high"
3 1 16.8    . 0 1 1 1 1 0 43.54 10.11 81.08 1.767442   8  3 1 1 "high"
3 1 15.8    . 0 0 1 1 1 0 43.54 10.11 81.08 1.767442  24 14 1 1 "high"
end
------------------ copy up to and including the previous line ------------------

Listed 50 out of 84409 observations


Thank you all,

Max