When a lagged dependent variable is included as a regressor,we must use a weaker form of assumption TSMR2 that allows the error term to be correlated with future values of explanatory variables,but not present or past values.What implications does this weaker assumption have for our regressors?
A) biased,but consistent
B) unbiased,but no longer BLUE
C) unbiased,but no longer linear
D) biased,but with minimum variance
Correct Answer:
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Q1: If you have a times series data
Q3: Which of the following is NOT a
Q4: When using the LM test for serial
Q5: Using the notation ARDL(p,q)what does q represent?
A)the
Q6: Which of the following is an example
Q7: Which of the following is an
Q8: Using the notation ARDL(p,q)what does p represent?
A)the
Q9: Which of the following is an
Q10: Which of the following is not a
Q11: If you use a times series data
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