This exercise asks you to complete the GMM derivation in section 4.4 .3 of the standard asymptotic

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This exercise asks you to complete the GMM derivation in section 4.4 .3 of the standard asymptotic time-series test statistic (3.45). Use of the Kronecker product will be particularly useful. The Kronecker product, denoted by \(\otimes\), is a matrix operation defined as follows: if \(A\) and \(B\) are \(I \times J\) and \(K \times L\) matrices, respectively, their Kronecker product is the \(I K \times J L\) matrix:

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Equation 3.45

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where \(a_{i j}\) is the \((i, j)\) th element of \(A .{ }^{17}\)
\({ }^{17}\) The Kronecker product has the following properties:

\[
\begin{gathered}
A \otimes(B+C)=A \otimes B+A \otimes C \\
(A+B) \otimes C=A \otimes C+B \otimes C \\
(c A) \otimes B=A \otimes(c B)=c(A \otimes B) \\
(A \otimes B) \otimes C=A \otimes(B \otimes C) \\
(A \otimes B)(C \otimes D)=(A C) \otimes(B D) \\
(A \otimes B)^{-1}=A^{-1} \otimes B^{-1} \\
(A \otimes B)^{\prime}=A^{\prime} \otimes B^{\prime}, \end{gathered}
\]

Write (4.92) and (4.96) as

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Equation 4.92

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Equation 4.96

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Derive the formula for the asymptotic variance of the intercepts in the market model, (4.97).

Equation 4.97

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Data from section 4.4.3

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