Conditional mixed process-with Random effects

[Dayla Spassio]

Hi all, I am using Cmp combined with random effects for my estimates

cmp(y= x1 x2 x3 ||id:) (x1=z1 z2 x2 x3|| id:) , ind ($cmp_oprobit $cmp_probit) cl(id)

where x1=endogenous z1 and z2 instruments but I having difficulty interpreting the following coefficients

cut_1_1 = -2.5***
cut_1_2 = 0.121
lnsig_1_1 = -0.467***
lnsig_1_1 = -0.165**
atanhrho_1_12 = -0.283***
atanhrho_12 = 0.265***

thanks.

[Dayla Spassio]

or if someone can recommend papers, notes so that I can understand something more

[Dayla Spassio]

Hi all, I am using Cmp combined with random effects for my estimates

cmp(y= x1 x2 x3 ||id:) (x1=z1 z2 x2 x3|| id:) , ind ($cmp_oprobit $cmp_probit) cl(id)

where x1=endogenous z1 and z2 instruments but I having difficulty interpreting the following coefficients

cut_1_1 = -2.5***
cut_1_2 = 0.121
lnsig_1_1 = -0.467***
lnsig_1_2 = -0.165**
atanhrho_1_12 = -0.283***
atanhrho_12 = 0.265***

thanks.

There was a mistake.
the parameter lnsig_1_2 is interpreted as the logarithmic transformation of the standard deviation for the errors in the first and second equation? whilelnsig_1_1 this indicates the standard deviation of the errors in the first equation ?

I cannot understand what the numbers refer to (e.g. 1_1 or 1_12)
please can someone help me?

thanks