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st: Choice among different heckprob models
From
Marco Sangiorgi <[email protected]>
To
[email protected]
Subject
st: Choice among different heckprob models
Date
Wed, 9 Nov 2011 16:02:45 +0100
Hi,
First of all please sorry for the bad layaout of the previous post, I
had some problem with plain text settings.
Here it is my concern. I'm running a probit model with sample
selection (-heckprob-). I've built three different models:
1) full model: y = x1 + x2 + x3
2) model 2: y = x1 + x2
3) model 3: y = x1 + x3
Note that model 2 and model 3 are nested in the full model. Now I
have to select the model that better fits the data. Here it is the
procedure I've followed:
a- In order to choose the model that better fits the data between the
full model and model 2, I've tested the significance of x3 in the full
model [results: x3 is highly significant, that suggests to not
exclude it from the model]
b- Then I did the same in order to choose between the full model and
model 3 (that is, I've tested the significance of x2 in the full
model) [results: x2 is highly significant, that suggests to not
exclude it from the model]
c- Since I found that x3 and x2 were both significant, I conclude that
the full model fits the data better than model 2 and model 3
Is it a correct procedure? Should I have to conduct different tests
for each equation (outcome and selection) separately?
Thanks,
Marco Sangiorgi
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