The linear probability model is
A) the application of the multiple regression model with a continuous left-hand side variable and a binary variable as at least one of the regressors.
B) an example of probit estimation.
C) another word for logit estimation.
D) the application of the linear multiple regression model to a binary dependent variable.
Correct Answer:
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Q2: In the binary dependent variable model, a
Q3: The probit model
A)is the same as the
Q4: In the probit model Pr(Y = 1
Q5: (Requires Appendix material)The following are examples of
Q6: The logit model can be estimated and
Q7: In the expression Pr(deny = 1 |
Q8: In the expression Pr(Y = 1 |
Q9: (Requires material from Section 11.3 - possibly
Q10: (Requires Advanced material)Only one of the
Q11: The binary dependent variable model is an
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