I am running several iterations of a system of related equations. The first is four separate OLS equations estimating:
reg E_share lnp_cap lnp_lab lnp_energy lnp_mat
reg K_share lnp_cap lnp_lab lnp_energy lnp_mat
reg L_share lnp_cap lnp_lab lnp_energy lnp_mat
reg M_share lnp_cap lnp_lab lnp_energy lnp_mat
The second is a SUR regression of three of the four equations (the fourth is implicit):
sureg (eq1: E_share lnp_cap lnp_lab lnp_energy lnp_mat) (eq2: K_share lnp_cap lnp_lab lnp_energy lnp_mat) (eq3: L_share lnp_cap lnp_lab lnp_energy lnp_mat)
Finally, I would like to run a SUR regression as above, but with a constraint that the constants terms for all four equations sum to 1. I'm not sure what the syntax for this constraint is, as the variables I am imposing the constraint on are parameters and not actual variables in my data, and was wondering if someone has an idea of how to proceed. Thanks!
reg E_share lnp_cap lnp_lab lnp_energy lnp_mat
reg K_share lnp_cap lnp_lab lnp_energy lnp_mat
reg L_share lnp_cap lnp_lab lnp_energy lnp_mat
reg M_share lnp_cap lnp_lab lnp_energy lnp_mat
The second is a SUR regression of three of the four equations (the fourth is implicit):
sureg (eq1: E_share lnp_cap lnp_lab lnp_energy lnp_mat) (eq2: K_share lnp_cap lnp_lab lnp_energy lnp_mat) (eq3: L_share lnp_cap lnp_lab lnp_energy lnp_mat)
Finally, I would like to run a SUR regression as above, but with a constraint that the constants terms for all four equations sum to 1. I'm not sure what the syntax for this constraint is, as the variables I am imposing the constraint on are parameters and not actual variables in my data, and was wondering if someone has an idea of how to proceed. Thanks!