Multiple Choice
Suppose that we are comparing results in the following two models
Model A: Yit = 0.9Yi,t-1 + 2X1it
Model A: Yit = 0.8Yi,t-1 + 2X1it
Which of the following is true?
A) The long-term effect of a one unit change in X will be 10 times bigger in Model A than in Model
B) The long-term effect of a one unit change in X will be 10 percent bigger in Model A than in Model
C) The short-term effect of a one unit change in X will be bigger in Model A than in Model
D) The short-term effect of a one unit change in X will be smaller in Model A than in Model
Correct Answer:

Verified
Correct Answer:
Verified
Q2: Suppose that we have the following results
Q3: Autocorrelation causes bias in a model without
Q4: OLS coefficients are biased when there is
Q5: What factor is associated with lower bias
Q6: Random effects models are appropriate only when
Q8: Autocorrelation causes bias in a model with
Q9: Describe when it is appropriate to use
Q10: Explain why a model with a lagged
Q11: Describe the potential trade-off between bias and
Q12: Under what conditions is the bias caused