Gauss-Markov Assumptions, Full Ideal Conditions of OLS

Gauss-Markov Assumptions, Full Ideal Conditions of OLS The full ideal conditions consist of a collection of assumptions about the true regression model and the data generating process and can be thought of as a description of an ideal data set. Ideal conditions have to be met in order for OLS to be a good estimate (BLUE, unbiased and efficient)

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Gauss-Markov Assumptions, Full Ideal Conditions of OLS
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