Colleagues: The model being estimated is
Code:
mprobit y i.(x1 x2 x3 x4 x5)
LHS variable y has 5 distinct categories and is coded {0,1,2,3,4}. Each x-variable is binary.

I would like to estimate a constrained version of the model where the all coefficients corresponding to outcome categories 1, 2, and 3 are constrained to be equal. The first such constraint might be specified as
Code:
constraint 1 [1]_cons=[2]_cons
etc. etc.

Is it the case that each constraint for each pair of parameters must be defined in separate constraint commands, or are there any wildcard (or other shortcuts) that would permit all parameters (_cons, x1, ..., x5) for one outcome to be constrained equal to those for another outcome?

Thanks very much in advance for any suggestions.