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Re: st: comparing nested models


From   Austin Nichols <austinnichols@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: comparing nested models
Date   Thu, 3 Feb 2011 11:30:39 -0500

Nikolas Asasa <lenta2008@yahoo.com>:
You have several options, but one obvious choice is to include the
additional dummy variables for age in 10 categories and test whether
all their coefficients are zero (should be a test of 5 add'l coefs):

sysuse nlsw88, clear
g a10=min(max(age,35),44)
g a5=a10-(mod(a10,2)==0)
ta a10 a5
forv a=36/44 {
 g agedummy`a'=a10==`a'
 }
forv a=37(2)44 {
 g a5dummy`a'=(a5==`a')
 }
reg wage a*dumm*, nohe
testparm agedumm*


On Thu, Feb 3, 2011 at 11:09 AM, Nikolas Asasa <lenta2008@yahoo.com> wrote:
> Dear All,
> I have two models aiming to estimate effect of age on wage. In the first model age is recorded in 5 categories. In the second model age is recorded in 10 categories.
> The question is how to compare goodness of fit of two models?
>
> In principle I would apply F-test, but I am not sure whether "test" procedure in Stata allows me to do it? Should I use ANOVA instead?
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