Apply the logic developed in this chapter to the model (Y_{i}=beta_{0}+beta_{1} X_{i}+) (epsilon_{mathrm{i}}). (There was no (beta_{0})

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Apply the logic developed in this chapter to the model $Y_{i}=\beta_{0}+\beta_{1} X_{i}+$ $\epsilon_{\mathrm{i}}$. (There was no $\beta_{0}$ in the simplified model.) Derive the OLS estimate for $\hat{\beta} 0$ and $\hat{\beta}_{1}$.

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Real Econometrics The Right Tools To Answer Important Questions

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Authors: Michael Bailey

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Apply the logic developed in this chapter to the model (Y_{i}=beta_{0}+beta_{1} X_{i}+) (epsilon_{mathrm{i}}). (There was no (beta_{0})

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Real Econometrics The Right Tools To Answer Important Questions

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