The major flaw of the linear probability model is that a. the actuals can only be 0 and 1 , but the predicted are almost always different from that.
b. the regression cannot be used as a measure of fit.
c. people do not always make clear-cut decisions.
d. the predicted values can lie above 1 and below 0 .
Correct Answer:
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Q1: The linear probability model is
A)the application of
Q1: In the probit model
Q2: In the binary dependent variable model, a
Q7: In the probit model
Q9: In the expression
Q11: The binary dependent variable model is an
Q12: The logit model derives its name from
A)the
Q13: Nonlinear least squares
A)solves the minimization of the
Q14: The maximum likelihood estimation method produces, in
Q20: When having a choice of which estimator
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