Problem 1. In a binary choice/response model: = X3 + Wi G(ui) Ui Y; 1{Y;* >0} (a) Show that any re-scaling of the model:
Posted: Mon May 09, 2022 11:59 am
Problem 1. In a binary choice/response model: = X3 + Wi G(ui) Ui Y; 1{Y;* >0} (a) Show that any re-scaling of the model: Y* X/7 + oei li G(ui) 1{Y;* >0} Y; where 7 - oß will not affect the marginal effects in conditional choice/response probabilities: ӘР(Х) axi (b) Suppose there is perfect multicollinearity in the data: 2-1 X;X; is not full rank. Will it be an issue for a logit or probit estimator? Why or why not.