Consider the following simple regression model Y = bo + bịX + u. Suppose Z is an omitted variable. Suppose Cov(X, u) > 0 and Cov(Z, X)>0. Then, the OLS estimator has: O a downward bias. Ob. no bias. OC an upward bias. O d. bias of uncertain direction.

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Consider the following simple regression model Y = bo + bịX + u. Suppose Z is an
omitted variable. Suppose Cov(X, u) > 0 and Cov(Z, X) > 0. Then, the OLS estimator
has:
O a. a downward bias.
b. no bias.
ou.
OC. an upward bias.
O d. bias of uncertain direction.
Transcribed Image Text:Consider the following simple regression model Y = bo + bịX + u. Suppose Z is an omitted variable. Suppose Cov(X, u) > 0 and Cov(Z, X) > 0. Then, the OLS estimator has: O a. a downward bias. b. no bias. ou. OC. an upward bias. O d. bias of uncertain direction.
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