I am estimating a non-linear seemingly unrelated regressing using proc model, as follows:
proc model data=temp2w; Y1= a0 + ((gamma))*(rho1)*X1+ (1-(theta))*(rho2)*X2; Y2= b0 + (1-(gamma))*(rho1)*X1+ (theta)*(rho2)*X2; fit dPIFO dPIDOM/ sur; run; quit;
I need estimates of a0, b0, gamma, theta, rho1, and rho2. The model estimates the parameters as I would expect. Is there a way to adjust standard errors for clustered observations in SAS? My dataset consists of a panel of firms, and there is reason to suspect that observations are not independent within a firm.
Registration is open! SAS is returning to Vegas for an AI and analytics experience like no other! Whether you're an executive, manager, end user or SAS partner, SAS Innovate is designed for everyone on your team. Register for just $495 by 12/31/2023.
If you are interested in speaking, there is still time to submit a session idea. More details are posted on the website.