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Re:Re: RE: st: Multiple endogenous regressors

From   Christopher Baum <>
To   "" <>
Subject   Re:Re: RE: st: Multiple endogenous regressors
Date   Sat, 22 Oct 2011 21:30:22 -0400

Yusal said

> Nevertheless, note that my question relates to the theoretical aspects
> of IV and 2SLS estimators. I'm a very curious person (I guess this is
> the reason why did I become a researcher) and from time to time I
> teach Econometrics classes and work with IV and 2SLS estimators. It is
> thus important for me to know (and not for the sake of argument) if
> I'm wrong here and if so where is my mistake.
> In other words I need a more specific application to a reference,
> which provides a mathematical proof that cov(Zi,Yi)/cov(Zi,X1i) and
> cov(X1hati,Yi)/Var(X1hati) yield identical numbers (in the case that
> I'm wrong here). My intuition says that the number will not be the
> same. 

Yusal's intuition fails here. Not only are the numbers the same computationally, as I have demonstrated, but a bit of undergraduate statistical theory and the definition of OLS regression proves that they refer to the same quantity:

Yusal wants a proof that in the exactly identified equation

y = alpha + beta X + U

with single instrument Z, uncorrelated with U, defining the first stage regression 

Xhat = a + b Z   where the OLS coefficient b = cov(X,Z) / var(Z)

The expression for the IV slope coefficient,  betahat = cov(y, Z) / cov(X, Z)
which corresponds to the matrix expression 

(Z'X)^-1 Z'y

will yield the same point estimate as doing 2SLS 'by hand', that is, computing Xhat
and running the second-stage OLS regression of y on Xhat. That regression has, let's say,
slope coefficient 

gamma = cov(Y, Xhat) / var(Xhat).

The proof:

gamma =       cov(Y, Xhat) / var(Xhat) = cov(Y, a + b Z) / var(a + b Z)

                        = cov(Y, b Z) / var(b Z)

                        = b cov(Y, Z) / b^2 var(Z)

                        = cov(Y, Z) / b var(Z)

                        = cov(Y, Z) / [cov(X,Z) / var(Z)] var(Z)

                        = cov(Y, Z) / cox(X, Z)  =  beta


Kit Baum   |   Boston College Economics & DIW Berlin   |
                            An Introduction to Stata Programming  |
 An Introduction to Modern Econometrics Using Stata  |

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