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Notice the reduction in R_square and the proportionate increase in error variance. If you use maximimum liklehood (as they did in version “9” ) you can control the sample space ( i.e. It was estimated using conditional least squares. It appears to me that the ar coefficient (1.102) in “8” is not invertable as it exceeds 1.0. The syntax I used in both programs was: LS(DERIV=AA) num10994 ar(12) Why the samples are not the same in the output, as the restriction should be the same in both cases? However, in both programs, I restricted the sample by using this command:smpl 2002m1 2011m12. Why is the output different (displayed below), while my input was exactly the same?How can I interpret the SIGMASQ?As you can see, the number of included observations differs between eviews8 and eviews9.
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However, my syntax code do not result in the same output compared to eviews8. So the model is like Y(t)=Y(t-12)+e.Īs Eviews9 contains helpfull tools to estimate models automatically, I requested a demo. As I have monthly data, I use the 12th period back in time. One of the models I tried is an AR model.
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