Multiple Choice
The binary dependent variable model is an example of a
A) regression model, which has as a regressor, among others, a binary variable.
B) model that cannot be estimated by OLS.
C) limited dependent variable model.
D) model where the left-hand variable is measured in base 2.
Correct Answer:
Verified
Correct Answer:
Verified
Q6: The logit model can be estimated and
Q7: In the expression Pr(deny = 1 |
Q8: In the expression Pr(Y = 1 |
Q9: (Requires material from Section 11.3 - possibly
Q10: (Requires Advanced material)Only one of the
Q12: The logit model derives its name from<br>A)the
Q13: Nonlinear least squares<br>A)solves the minimization of the
Q14: The maximum likelihood estimation method produces, in
Q15: In the probit model Pr(Y = 1
Q16: The major flaw of the linear probability