Multiple Choice
The multinomial logit is preferable to OLS in the case of categorical dependent variables because it
A) is constrained to be non-negative.
B) accounts for the categorical nature of the independent variables.
C) accounts for the categorical nature of the dependent variable.
D) unbiased.
Correct Answer:
Verified
Correct Answer:
Verified
Q30: Suppose you are interested in explaining
Q31: Suppose you estimate a logit model
Q32: The assumption required for the multinomial logit
Q33: The coefficient estimates from the multinomial logit
Q34: OLS is not the preferred model with
Q35: The coefficient estimates from the multinomial logit
Q36: What is a logit model? Why is
Q37: The coefficient estimates from the logit model<br>A)indicate
Q39: When using the logit model,estimated marginal effects
Q40: What do the coefficient estimates from the