When should a probit model be used?
A) when you need a binary choice model that allows for varying marginal effects
B) when you need to model the heteroskedasticity in the linear probability model
C) to allow for endogenous regressors in a binary choice model
D) to allow for multiple explanatory variables in a binary choice model
Correct Answer:
Verified
Q3: Which model requires the assumption of independence
Q4: For what dependent variable should a Poisson
Q5: Unobservable variables that enter into decisions are
Q6: What is the difference between count data
Q7: When a substantial proportion of the observations
Q9: When a decision maker has to choose
Q10: What is the primary difference between ordered
Q11: When testing hypotheses of probit or logit
Q12: When should a Heckit model be used?
A)when
Q13: How are logit and probit models different?
A)probit
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