answer all questions with explanation

Consider the simplified classical normal linear regression problem written in matrix notation (as in Chapter 3 of Davidson and Mackinnon): y = XB+u, u~MVN(0, o'In), BER o>0, (1) where y is an n-vector of endogenous variables, and X is a n x k matrix of regressors. 1. Carefully describe a DGP in this conditional statistical model. Furthermore, provide two examples of DGPs in this model. 2. Under what condition(s) is the parameter S point-identified in this model ? Explain your