Suppose that you estimated (1) w B +B za +e and based on the results, rejected the hypothesis that B2 = 0. You also estimated (II) y=n+2 za +n4 + and based on the results of that second estimation, you rejected the hypothesis that y3 = 0. You then estimated %3D (III) za = d1 + ôz z, + 4 and did not rejected the hypothesis that &2 = 0. What can you conclude from these results? %3D O There is evidence that the OLS estimator by for 32 in model ( I) is inconsistent O There is evidence that 17, and U, are correlated O There is evidence that e, and 2, are correlated O None of the above O There is evidence that 2 and 2, are correlated
Suppose that you estimated (1) w B +B za +e and based on the results, rejected the hypothesis that B2 = 0. You also estimated (II) y=n+2 za +n4 + and based on the results of that second estimation, you rejected the hypothesis that y3 = 0. You then estimated %3D (III) za = d1 + ôz z, + 4 and did not rejected the hypothesis that &2 = 0. What can you conclude from these results? %3D O There is evidence that the OLS estimator by for 32 in model ( I) is inconsistent O There is evidence that 17, and U, are correlated O There is evidence that e, and 2, are correlated O None of the above O There is evidence that 2 and 2, are correlated
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter2: Systems Of Linear Equations
Section2.4: Applications
Problem 28EQ
Related questions
Question
![Suppose that you estimated
(1) =B +B za +e
and based on the results, rejected the hypothesis that B2 = 0. You also estimated
(II) y = n+2 za +n4+N
and based on the results of that second estimation, you rejected the hypothesis that y3 = 0. You then estimated
(III) za = d1 + dz z4 + v
and did not rejected the hypothesis that 82 = 0. What can you conclude from these results?
O There is evidence that the OLS estimator by for B2 in model ( 1) is inconsistent
O There is evidence that 17, and t, are correlated
O There is evidence that e, and 2, are correlated
O None of the above
O There is evidence that I2 and 2, are correlated](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F6df0d7cf-37bf-48ea-ad68-5140fb9f55b5%2Fd9d8b75f-a21e-47f6-889d-56ac091f8788%2F3bvu6fw_processed.png&w=3840&q=75)
Transcribed Image Text:Suppose that you estimated
(1) =B +B za +e
and based on the results, rejected the hypothesis that B2 = 0. You also estimated
(II) y = n+2 za +n4+N
and based on the results of that second estimation, you rejected the hypothesis that y3 = 0. You then estimated
(III) za = d1 + dz z4 + v
and did not rejected the hypothesis that 82 = 0. What can you conclude from these results?
O There is evidence that the OLS estimator by for B2 in model ( 1) is inconsistent
O There is evidence that 17, and t, are correlated
O There is evidence that e, and 2, are correlated
O None of the above
O There is evidence that I2 and 2, are correlated
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