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. is easy to summarize and use traditional linear regression model techniques.
C. does not require defining a determining function.
D. does not suffer from small sample issues.


Answer: B

Biology & Microbiology

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