Suppose that the regression model is y = + , where has a zero mean,
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Suppose that the regression model is y = μ + ε, where ε has a zero mean, constant variance, and equal correlation, ρ, across observations. Then Cov[εi, εj] = σ2ρ if i = j. Prove that the least squares estimator of μ is inconsistent. Find the characteristic roots of and show that Condition 2 after Theorem 9.2 is violated.
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The covariance matrix is The matrix X is a column of 1s so the least squares est...View the full answer
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