The primary difference between the probit and logit model is the:
A) probit model uses a latent variable convention that the logit model does not.
B) probit model suffers from a heteroscedasticity problem while the logit does not.
C) choice of distribution for the unobservables.
D) probit model identifies causal effects, while the logit model identifies correlations.
Correct Answer:
Verified
Q22: In the standard regression formula of Yi
Q23: After estimating a probit model for the
Q24: In estimating a probit or logit model
Q25: A consequence of the linear probability model
Q26: In estimating the linear probability model for
Q28: The probit model assumes what sort of
Q29: In estimating the linear probability model for
Q30: What condition will fail to hold in
Q31: In estimating the linear probability model for
Q32: A latent variable is one that:
A) can
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