Chapter 8 · Test 2
Matrices
Matrix notation, operations, transposition, and special matrices.
What you will learn
- Multiply a matrix by a vector
- Read a transpose
- Determine product dimensions
Reasoning habits that help
- Each component of a matrix-vector product is a row-column dot product.
- Transposition reflects entries across the main diagonal by interchanging their indices.
- Matrix multiplication is conformable when the inner dimensions match, and the result takes the outer dimensions.
Where economists use these methods
- Matrix-vector products aggregate input-output requirements, portfolio returns, and systems of linear predictions.
- Transposes reorganize economic data and appear in regression formulas, quadratic forms, and matrix derivatives.
- Dimension checks prevent invalid matrix operations in econometrics, input-output analysis, and multivariate models.