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RE: st: help log linear

From   "Vincenzo Verardi" <[email protected]>
To   [email protected]
Subject   RE: st: help log linear
Date   Sun, 22 Feb 2004 20:10:47 -0400

Hello, I'm not shure if I understood properly the question but I would do:

1) run the regression lny=xb

the I would type the command

predict lnyhat, xb

2) I would then exponentiate my result generating a new variable

gen ypred=exp(lnyhat)

I would then have the predicted y.

3) For the regression without the constant, I would type:

reg lny x, noconst

I hope this helps



P.S. if it is a log-lin regression with an explanotary dummy variable, take care on how to read the coefficient associated to the dummy (exp(beta)-1).

From: [email protected]
Reply-To: [email protected]
To: [email protected]
Subject: st: help log linear
Date: Sat, 21 Feb 2004 22:35:35 -0500


I am having a bit of difficulties figuring out how to predict a y
in a log linear model.  I cannot determine the following items:

1)obtaining fitted values of logy(i) from the regression of logy
on each independent x
2)for each observation i, creating a variable equal to exp(logy(i))
3)performing a regression through the origin

Any other information that could be provide to assist in running a
log linear regression would be greatly appreciated.

I could not find anything in my manual about it.

Thank you,
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