The normal approximation to the sampling distribution of $\hat { \beta }$ ₁ is powerful because A)many explanatory variables in real life are normally distributed. B)it allows econometricians to develop methods for statistical inference. C)many other distributions are not symmetric. D)is implies that OLS is the BLUE estimator for ?₁.

Question

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The normal approximation to the sampling distribution of $\hat{\beta}$ is powerful because it enables econometricians to use normal distribution properties to develop methods for statistical inference, such as hypothesis testing and confidence intervals. This is not necessarily because real-life explanatory variables are normally distributed (A), other distributions are not symmetric (C), or it implies OLS is the BLUE estimator (D).

The Normal Approximation to the Sampling Distribution Of β^\hat { \beta }β^​

The Normal Approximation to the Sampling Distribution Of $\hat { \beta }$