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The Generalised Least Squares (GLS) model is an extension of the Ordinary Least Squares (OLS) technique designed to address problems of heteroskedasticity and autocorrelation in the error terms of a regression model. In OLS, one key assumption is that the error terms have constant variance (homoskedasticity) and are uncorrelated. When these assumptions are violated, OLS estimators remain unbiased but become inefficient, __________ ____ ____ ___ ______ _______ _______ ____ __________ ______ ______.
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