- a **4. Suppose we have a sample of n pairs of iid observations (X1,Y), (X2,Y2),...,(Xn, Yn). Our model is Y; = a + BX,
Posted: Mon Apr 11, 2022 6:20 am
- a **4. Suppose we have a sample of n pairs of iid observations (X1,Y), (X2,Y2),...,(Xn, Yn). Our model is Y; = a + BX, + where E(ui) = 0, and X; and Ui are independent for all i. Recall that the ordinary least squares estimators â and B are the values of a and B that minimize the sum of squared errors L=(Y; - a - BX:)? (a) Show that â and ß are consistent. (b) Suppose that we know B = 0 for some reason. Let à be the value of a that minimizes the restricted sum of squared errors Li-(Y; -a)?. Give a formula for a in terms of the sample observations. Show consistency. (c) Suppose that we know a = 0 for some reason. Let ß be the value of B that minimizes the restricted sum of squared errors 21-(Y; - BX;)?. Give a formula for B in terms of the sample observations. Show consistency