(a) An estimator is consistent if it converges in probability to the true parameter value, i.e. if in probability. Prove that the OLS estimator is consistent. (b) We say that is unbiased if E = . Prove that the OLS estimator is unbiased. (Hint: Use all available resources to solve the problem. Try to understand the most important conceptual aspects of these two proofs.)