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Re: st: IV list in ivreg and ivreg2
Date sent: Mon, 19 Apr 2004 04:39:53 -0700 (PDT)
From: Eddy <email@example.com>
Subject: st: IV list in ivreg and ivreg2
Send reply to: firstname.lastname@example.org
> Dear listers,
> When using ivreg or ivreg2 to do a 2SLS estimation, all the RHS
> variables except those explicitly specified as endogenous are assumed
> to be exogenous and valid IV. Call those the "included exogenous
> variables". However, I happen to have a case in which not all the
> "included exogenous variables" are valid IV, and I am asking whether
> users can have better control over the list of IV to be used in the
> 2SLS estimation.
I'm not sure this makes sense. A "valid" IV is one that satisfies
the orthogonality conditions; this is synonymous with "exogenous".
If one of your regressors isn't a valid IV, then it isn't exogenous
and you need to treat it as endogenous. This is the way that IV
works (or, in modern presentations, GMM with IV as a special case).
In your example, ln(P) might or might not be be orthogonal to the
disturbance term. If it is, it's a valid IV and you can treat it as
exogenous; if it isn't, it's not a valid IV and you should treat it
as endogenous. It sounds like you lean towards the latter, which
looks like a reasonable way to proceed (so long as you have enough
other valid excluded instruments to identify the equation, and they
are "relevant" as well as "valid").
Hope this helps.
> The model I am dealing with is from the precautionary saving
> literature, in which a commonly used regression model is something
> ln(W/P) = a0 + a1*ln(P) + a2*y + B*X,
> where W is wealth, P is permanent income, y is the endogenous
> variable, and X are all other exogenous variables. Note that ln(P) is
> on the LHS as well as on the RHS; the literature has it on the RHS to
> "control for heterogenous preference".
> The task is to control for the endogeneity of y and leave ln(P)
> alone, as most of the studies in this literature claimed to have
> done. With ivreg or ivreg2, all the RHS variables except y are
> automatically included in the IV list. However, ln(P) is clearly not
> a valid IV. Therefore, I would like to have a IV list that does not
> include ln(P). This problem can be solved if users can have the
> freedom in specifying the IV list, but apparently ivreg and iverg2
> are not written based on this idea.
> I have been thinking of specifying both y and ln(P) as the endogenous
> variables in order to treat the program, but I am afraid the result
> is NOT what I (and the literature) set out for: control the
> endogeneity of y and leave ln(P) alone.
> Any thought?
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Prof. Mark E. Schaffer
Centre for Economic Reform and Transformation
Department of Economics
School of Management & Languages
Heriot-Watt University, Edinburgh EH14 4AS UK
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