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Overdispersion test
Posted: Mon May 18, 2015 8:19 am
by Nitzan04
I did both test that are mentioned in the manual Cameron and Trivedi and Wooldridge - is it reasonable that i got underdispersion at the first test and overdispersion at the last test?
Im really confused.
Re: Overdispersion test
Posted: Mon May 18, 2015 11:17 am
by EViews Glenn
For the first test, which variable is the original and which variable is the fitted?
Re: Overdispersion test
Posted: Tue May 19, 2015 3:01 am
by Nitzan04
Hi,
The first variable is the fit variable which i got by using the command: fit patentfittct . the second variable i got by "forecast".
Doesnt fit has the same meaning as forecast?!
It is really confusing because at the manual it written , and i quote :"first estimate the Poisson and obtain the fitted values of the dependent variable"
What should basically i need to do? can you guid my steps in Eviews so i can get a clear picture of the results of the dispersion.
Thank you in advance,
Nitzan.
Re: Overdispersion test
Posted: Tue May 19, 2015 3:18 am
by Nitzan04
This is the result i just got after doing : a. astimate the variables by the Poisson-Count regression model, b. forecast and named the forecasted variable as " patentffinal", c. using the command :
equation testeq.ls (patent-patentffinal)^2-patent patentffinal^2.
Is it o.k?
Re: Overdispersion test
Posted: Tue May 19, 2015 1:07 pm
by EViews Glenn
I haven't looked at the Cameron and Trivedi stuff in ages, so I haven't verified this, but from the description in the manual, your specification for the original test equation is incorrect.
The original test equation you estimated is
Your original equation was
Code: Select all
equation testeq.ls (patentfittct - patentfct)^2-patentfittct patentfct^2.
when the manual suggests that you should have estimated
Code: Select all
equation testeq.ls (patentfct - patentfittct)^2-patentfct patentfittct^2.
Your second attempt uses
Code: Select all
equation testeq.ls (patent-patentffinal)^2-patent patentffinal^2.
which looks to be of the correct form.