What is the difference between multinomial logit and conditional logit?
A) conditional logit allows for variables to vary by individual and choice while multinomial logit only allows them to vary by individual
B) multinomial logit allow for 3+ choices,conditional logit only accommodates 2
C) multinomial logit is estimated with least squares,conditional logit by maximum likelihood
D) multinomial logit has different coefficients for each choice equation,conditional logit has equal coefficients across choice equations on common variables
Correct Answer:
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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
Q14: For which distribution is the mean equal
Q15: Which of the following statements is not
Q16: When is a Tobit model used?
A)when you
Q17: When using least squares to estimate a
Q19: What is accomplished by using a Tobit
Q20: How is the average marginal effect calculated
Q21: What type of model consists of a
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