Word Count : 244

---

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, ___ __________ ____ _______ ____ ____ __________ ________ ______ _____ ____ ________.
______ _________ ______ _______ ______ _______ _________ ____ ________ _________ _________.
_______ _______ _____ ________ _____ ___ _______ ______ ______ ___ _________.
_______ ____ __________ ___ ____ __________ _________ ______.
____ __________ __________ _________ ___ __________ ______ _______ ________.
_______ ______ __________ ___ ________.
______ _____ _________ ______ ______ ____.
_______ _________ ___ ______ ___ _________ __________ ______.
______ __________ __________ _______ ______ _______ ________ _____ ___ _____ _____.
___ ________ _______ ___ ________ __________ __________ _________ __________ ________.
___ _____ ________ _____ ____ _____ ______ _________ _________ ______ ___.
___ __________ ___ __________ ____ ________ ____.
_______ ____ __________ _____ __________ __________ ____ __________ ______.
__________ _________ _________ _____ ______ _______ ________ ___ ____.
____ __________ ___ ____ ___ _________.
_______ ____ ___ ____ ______ _______ _______ ____ _________ ____ ___.
_______ _____ _____ ______ _________ _____ ____ _________ ___ _________ __________ ___.
_________ __________ _________ __________ _____ ________ __________ _________ ___ ________ _______.
_______ ___ ______ ______ _____ ___ ___ ____.
__________ _______ ______ ___ ______.
__________ _________ ________.
Get Full Answer on WhatsApp