Question 32 Which of the following assumptions is NOT needed for OLS estimators to be unbiased Linearity in parameters Zero conditional mean dixit

MATLAB: An Introduction with Applications
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Question 32
Which of the following assumptions is NOT needed for OLS estimators to be unbiased
Linearity in parameters
Zero conditional mean
O homoskedasticity
O random sampling
Question 33
Suppose that the true population regression model is y = Bo + B1 * x1 + B2 * *2 + u.
Bị denotes the estimate of the slope coefficient on æ1 when you regress y only on x1.
The bias in 3, is positive if
A) B2 > 0 and a1 and x2 are positively correlated
B) B2 < 0 and x1 and x2 are positively correlated
C) B2 > 0 and x1 and x2 are negatively correlated
D) B2 = 0 and x1 and xz are positively correlatedd
O A
B.
Transcribed Image Text:Question 32 Which of the following assumptions is NOT needed for OLS estimators to be unbiased Linearity in parameters Zero conditional mean O homoskedasticity O random sampling Question 33 Suppose that the true population regression model is y = Bo + B1 * x1 + B2 * *2 + u. Bị denotes the estimate of the slope coefficient on æ1 when you regress y only on x1. The bias in 3, is positive if A) B2 > 0 and a1 and x2 are positively correlated B) B2 < 0 and x1 and x2 are positively correlated C) B2 > 0 and x1 and x2 are negatively correlated D) B2 = 0 and x1 and xz are positively correlatedd O A B.
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