If one was attempting to build a model that predicted a person's height-which has to be positive, why might it still be the case that you wouldn't consider this as a limited dependent variable?
A) The sample of heights will always be a selected sample.
B) You need an appropriate instrumental variable for height.
C) It is very unlikely that the 0 boundary for height is a binding restriction in any sample of individuals.
D) It will depend on your sample size.
Correct Answer:
Verified
Q15: If you are planning on running the
Q16: Which of the following statistics or conditions
Q17: A dichotomous dependent variable is a variable
Q18: For a linear probability model all of
Q19: If you are modeling shopping decisions at
Q21: After estimating a probit model to determine
Q22: In the standard regression formula of Yi
Q23: After estimating a probit model for the
Q24: In estimating a probit or logit model
Q25: A consequence of the linear probability model
Unlock this Answer For Free Now!
View this answer and more for free by performing one of the following actions
Scan the QR code to install the App and get 2 free unlocks
Unlock quizzes for free by uploading documents