Logit and Probit Models Are More Appropriate Than Linear Probability

question 7

Multiple Choice

Logit and probit models are more appropriate than linear probability models because:

• A) Logit and probit can estimate probabilities that are negative
• B) Logit and probit cannot estimate probabilities that are greater than one
• C) Logit and probit cannot estimate probabilities that are negative but not greater than one
• D) Logit and probit cannot estimate probabilities that are negative or greater than one

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