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st: Endogeneity and instrument selection

From   Tunga Kantarcı <[email protected]>
To   [email protected]
Subject   st: Endogeneity and instrument selection
Date   Wed, 3 Aug 2011 17:00:09 +0200


I am estimating an IV-FE model and puzzled with the results on the
endogeneity test of the possibly endogenous covariates. I would like
to summarize my model and for suggestions.

Let us forget about the subscripts i and t defining individuals and
time. My model is as follows:

H = A(1) * X + A(2) * W1 + A(3) * W2 + U (Eq 1)

I believe that W1 and W2 is endogenous and hence instrument it with
the variables E1, E2, E3, and E4 as follows (for W1):

W1 = B(1) * X + B(2) * E1 + B(3) * E2 + B(4) * E3 + B(5) * E4 + V (Eq 2)

I find that E1, E2, E3, and E4 are in some cases individually but
besides jointly "relevant" (with t or an F test) and "exogenous" (with
respect to the overidentification test). Hence, the instruments are

I estimate the model with E1, E2, E3, and E4 as set above, and when I
test to see if W is indeed "endogenous" I find that it is endogenous
using the following command:

xtivreg2 H  (W1 W2 = E1 E2 E3 E4) X,  fe robust cluster(HHIDPN) endog(W1 W2)

Then I exclude E4 and I find that W is NOT endogenous anymore. This is
what puzzles me and I cannot think of any reason why it would be the

In particular, if I am not mistaken, the endogeneity test works as
follows (simplified for W1):

W1 can be correlated with U only if V is correlated with U because we
know that "X, E1, E2, E3, E4" are uncorrelated with U. And then we
test if V is significant in Equation 1.

Given this, I cannot really think of any reason why W1 becomes
exogenous when I drop E4 from the regression.

I would appreciate your thoughts.
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