[Step-by-Step] Answer all parts of this question Given \boldsymbolX
Question: Answer all parts of this question Given
\[\boldsymbol{X} \equiv\left[\begin{array}{rr} 1 & x_{1} \\ \vdots & \vdots \\ 1 & x_{T} \end{array}\right], \boldsymbol{y} \equiv\left[\begin{array}{r} y_{1} \\ \vdots \\ y_{T} \end{array}\right], \text { and } \varepsilon \equiv\left[\begin{array}{r} \varepsilon_{1} \\ \vdots \\ \varepsilon_{T} \end{array}\right]\]where \(\boldsymbol{y} \equiv \boldsymbol{X}\left[\begin{array}{c}b_{0} \\ b_{1}\end{array}\right]+\varepsilon\), we wish to choose \(b_{0}\) and \(b_{1}\) to minimise \(\varepsilon^{\prime} \varepsilon\).
- Using sigma notation, express the minimand in terms of \(x_{t}, y_{t}, b_{0}\) and \(b_{1}\).
- Partially differentiate the minimand with respect to each of the choice variables to derive its first order conditions.
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Write the system of two first order conditions derived in part b, above, in matrix notation,
\[M\left[\begin{array}{l} b_{0} \\ b_{1} \end{array}\right]=\boldsymbol{v}\]
where \(M\) is a matrix and \(v\) a vector. - Solve system of equations 1 for \(\left(b_{0}, b_{1}\right)^{\prime}\). What must you assume to do so?
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Calculate the following values in terms of \(T, \sum x_{t}, \sum x_{t}^{2}, \sum y_{t}\) and \(\sum x_{t} y_{t}:\) i. \(\boldsymbol{X}^{\prime} \boldsymbol{X}\)
ii. \(\left(\boldsymbol{X}^{\prime} \boldsymbol{X}\right)^{-1}\)
iii. \(\boldsymbol{X}^{\prime} \boldsymbol{y}\)
iv. \(\left(\boldsymbol{X}^{\prime} \boldsymbol{X}\right)^{-1} \boldsymbol{X}^{\prime} \boldsymbol{y}\) - Compare the result derived in part \(\mathrm{d}\) to that derived in subpart e iv.
- Interpret the model you have been working with, and the calculations you have performed.
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