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Explain the FGLS (Feasible Generalized Least Squares) method and how we can apply it step by step. The following notatio...

Explain the FGLS (Feasible Generalized Least Squares) method and how we can apply it step by step. The following notation is suggested :V(u) =σ2Ω(explain what areσandΩ). Then how do we interpret it?

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Generalized least squares(GLS) is a method for estimating the unknown parameters in a linear regression model when there is a certain degree of correlation between the residuals in a regression model.

If the covariance of the errors

f the covariance of the errors  \Omega is unknown, we can get a consistent estimate of \Omega ,\widehat \Omega using an implementable version of GLS known as the feasible generalized least squares (FGLS) estimator.

In FGLS, modeling proceeds in two stages:

(1) the model is estimated by OLS or another consistent (but inefficient) estimator, and the residuals are used to build a consistent estimator of the errors covariance matrix

(2) using the consistent estimator of the covariance matrix of the errors, one can implement GLS ideas.

\Omega is a non-singular covariance matrix and σ2 is a variance of the error term.

V(u) =σ2Ω is the consistent estimator of the variance term.

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