IV diagnostics regressor endogeneity

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k100z
Posts: 3
Joined: Fri Aug 02, 2013 11:44 am

IV diagnostics regressor endogeneity

Postby k100z » Tue Aug 06, 2013 6:50 pm

After running an instrumental variable estimation for cross sections, one can check for the endogeneity of the regressors: View / IV Diagnostics & Tests / Regressor Endogeneity Test

It works fine when running a GMM estimation, but there are no results for the TSLS. According to the handbook it should be available for GMM and TSLS. It is executing the test, but test statistics are simply not displayed. the are no numbers for

Value df Probability
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EViews Gareth
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Re: IV diagnostics regressor endogeneity

Postby EViews Gareth » Tue Aug 06, 2013 7:38 pm

Could you provide your workfile, along with EViews version and build date (available from Help->About EViews).

k100z
Posts: 3
Joined: Fri Aug 02, 2013 11:44 am

Re: IV diagnostics regressor endogeneity

Postby k100z » Wed Aug 07, 2013 12:12 pm

Could you provide your workfile, along with EViews version and build date (available from Help->About EViews).
Hi,

Eviews 8, Aug 1 2013build, workfile attched.
Attachments
2001_test.wf1
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EViews Gareth
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Posts: 13600
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Re: IV diagnostics regressor endogeneity

Postby EViews Gareth » Wed Aug 07, 2013 12:56 pm

Thanks.

k100z
Posts: 3
Joined: Fri Aug 02, 2013 11:44 am

Re: IV diagnostics regressor endogeneity

Postby k100z » Tue Sep 03, 2013 12:44 pm

Hi Gareth,

did you find any solution/explanation to my problem?

EViews Gareth
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Posts: 13600
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Re: IV diagnostics regressor endogeneity

Postby EViews Gareth » Tue Sep 03, 2013 12:49 pm

I believe it is fixed in the latest patch.

EViews Gareth
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Posts: 13600
Joined: Tue Sep 16, 2008 5:38 pm

Re: IV diagnostics regressor endogeneity

Postby EViews Gareth » Tue Sep 03, 2013 12:53 pm

Hmmm, I just checked the latest patch, and actually it isn't fixed.

We will investigate.

Of course, in the mean time, you can always calculate the statistic manually - the secondary estimation output is shown, you just need to find the difference between the original J statistic and the secondary estimation's.


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