st: An urgent request for help :-)

[Manasi Vydyanath <manasi@uchicago.edu>]

Hello,
This may be a slightly basic question, but I would really appreciate  
a solution... I have two regression estimations which I run  
sequentially, and need to get a 95% confidence interval using  
coefficients from both these estimations in a non-linear combination.  
Specifically, I want to get the (delta-method estimated) 95% conf.  
interval for the following expression:

(B01 - B02)/(B11-B12),

 where B01 is the intercept of the 1st regression, B02 is the  
intercept of the second equation, B11 is a predictor coefficient of  
the 1st equation, and B12 is a predictor coefficient of the 2nd  
equation.

The models I'm running are univariate regressions, but I'd appreciate  
a multi-variate generalization as well. My question centres around  
how one can store and recall estimations from previous regressions  
while trying to work with a non-linear combination of their  
coefficients.

Thank you, and looking forward to hearing from you,

Sincerely,

Manasi
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