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Tom
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Cross posted on Stackoverflow with a bounty of 200.

EDIT:

I think I have to clarify this question a little bit more. So what I am looking for, is a function in which I can provide both the vcov matrix (the vcov2sls), and have robust and clustered standard errors. However it seems that they both pertain to the same vcov matrix option. So if I supply one, I already have to make sure the se's are clustered and robust.. So I guess I am essentially asking how I can make the vcov2sls function have robust and clustered errors. Obviously any other solution leading to the same practical outcome would be great as well.

END OF EDIT

Cross posted on Stackoverflow.

Cross posted on Stackoverflow with a bounty of 200.

EDIT:

I think I have to clarify this question a little bit more. So what I am looking for, is a function in which I can provide both the vcov matrix (the vcov2sls), and have robust and clustered standard errors. However it seems that they both pertain to the same vcov matrix option. So if I supply one, I already have to make sure the se's are clustered and robust.. So I guess I am essentially asking how I can make the vcov2sls function have robust and clustered errors. Obviously any other solution leading to the same practical outcome would be great as well.

END OF EDIT

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kjetil b halvorsen
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Tom
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EDIT: I know that also lmtest:coeftest exists, but I want to able to use weights. See this link. I am having trouble figuring out if this is possible in lmtest:coeftest .

EDIT: I know that also lmtest:coeftest exists, but I want to able to use weights. See this link. I am having trouble figuring out if this is possible in lmtest:coeftest .

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Tom
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