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Finding Eigenvalues and Eigenvectors (student stuff) .[embedded content] When applying principal component analysis in econometrics courses we often want to reduce data dimensionality. Eigenvalues and eigenvectors help us do that. In macroeconomics — especially when we use dynamic programming and Bellman equations to solve optimization problems — eigenvalues and eigenvectors help us determine convergence and stability properties. So — good to have at least some basic knowledge of these square matrix concepts.
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Lars Pålsson Syll considers the following as important: Economics
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Finding Eigenvalues and Eigenvectors (student stuff) .[embedded content] When applying principal component analysis in econometrics courses we often want to reduce data dimensionality. Eigenvalues and eigenvectors help us do that. In macroeconomics — especially when we use dynamic programming and Bellman equations to solve optimization problems — eigenvalues and eigenvectors help us determine convergence and stability properties. So — good to have at least some basic knowledge of these square matrix concepts.
Topics:
Lars Pålsson Syll considers the following as important: Economics
This could be interesting, too:
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Lars Pålsson Syll writes The pretence-of-knowledge syndrome
Finding Eigenvalues and Eigenvectors (student stuff)
.
When applying principal component analysis in econometrics courses we often want to reduce data dimensionality. Eigenvalues and eigenvectors help us do that. In macroeconomics — especially when we use dynamic programming and Bellman equations to solve optimization problems — eigenvalues and eigenvectors help us determine convergence and stability properties. So — good to have at least some basic knowledge of these square matrix concepts.