One of the merits of the linear probability model is that it:
A) is a stronger model of causality than two-stage least squares.
B) does not require defining a determining function.
C) is easy to summarize and use traditional linear regression model techniques.
D) does not suffer from small sample issues.
Correct Answer:
Verified
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