
Introductory Econometrics 4th Edition by Jeffrey Wooldridge
Edition 4ISBN: 978-0324660609
Introductory Econometrics 4th Edition by Jeffrey Wooldridge
Edition 4ISBN: 978-0324660609 Exercise 14
Suppose that you are interested in estimating the ceteris paribus relationship between y and x1. For this purpose, you can collect data on two control variables, x2 and x3. (For concreteness, you might think of y as final exam score, x1 as class attendance, x2 as GPA up through the previous semester, and x3 as SAT or ACT score.) Let
be the simple regression estimate from y on x1 and let
be the multiple regression estimate from y on x1,x2,x3.
(i) If x1 is highly correlated with x2 and x3 in the sample, and x2 and x3 have large partial effects on y, would you expect
and
to be similar or very different Explain.
(ii) If x1 is almost uncorrelated with x2 and x3, but x2 and x3 are highly correlated, will
and
tend to be similar or very different Explain.
(iii) If x1 is highly correlated with x2 and x3, and x2 and x3 have small partial effects on y, would you expect se
or se
to be smaller Explain.
(iv) If x1 is almost uncorrelated with x2 and x3, x2 and x3 have large partial effects on y, and x2 and x3 are highly correlated, would you expect se
or se
to be smaller Explain.


(i) If x1 is highly correlated with x2 and x3 in the sample, and x2 and x3 have large partial effects on y, would you expect


(ii) If x1 is almost uncorrelated with x2 and x3, but x2 and x3 are highly correlated, will


(iii) If x1 is highly correlated with x2 and x3, and x2 and x3 have small partial effects on y, would you expect se


(iv) If x1 is almost uncorrelated with x2 and x3, x2 and x3 have large partial effects on y, and x2 and x3 are highly correlated, would you expect se


Explanation
The difference between a simple linear r...
Introductory Econometrics 4th Edition by Jeffrey Wooldridge
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