Olivier Paris
04-20-2009, 12:24 PM
Hello,
I have a system of equations of the following form:
p = beta * X + error_1
q = alpha * beta + error_2
I observe X, p, and q. I do not observe beta, and estimate it in a first regression. I want to use the second regression to estimate alpha.
the two datasets corresponding to the two regressions are distinct, and the error terms error_1 and error_2 are uncorrelated.
any help on how to conduct this with SAS would be highly appreciated, thanks!
PS: In the original form, the first regression is a logit. I would be satisfied to run a procedure where both regressions are linear, but if I could keep the logit specification in the first regression this could be even better.
I have a system of equations of the following form:
p = beta * X + error_1
q = alpha * beta + error_2
I observe X, p, and q. I do not observe beta, and estimate it in a first regression. I want to use the second regression to estimate alpha.
the two datasets corresponding to the two regressions are distinct, and the error terms error_1 and error_2 are uncorrelated.
any help on how to conduct this with SAS would be highly appreciated, thanks!
PS: In the original form, the first regression is a logit. I would be satisfied to run a procedure where both regressions are linear, but if I could keep the logit specification in the first regression this could be even better.