💰Intro to Mathematical Economics Unit 5 – Matrix Theory in Input-Output Analysis
Matrix Theory in Input-Output Analysis examines how economic sectors interconnect. It uses matrices to model the flow of goods and services between industries, helping us understand how changes in one sector ripple through the economy.
The Leontief Model is central to this analysis, using technical coefficients and the Leontief Inverse Matrix to capture direct and indirect effects of demand changes. This approach allows economists to calculate multiplier effects and assess economic impacts across industries.
Input-Output Analysis studies the interdependencies between economic sectors and industries
Focuses on the flow of goods and services between industries and final consumers
Leontief Model developed by Wassily Leontief in the 1930s forms the basis of Input-Output Analysis
Intermediate goods are products used as inputs in the production of other goods and services
Final demand represents the consumption of goods and services by end-users (households, government, exports)
Technical coefficients denote the amount of input required from one industry to produce one unit of output in another industry
Calculated by dividing the input value by the total output of the consuming industry
Leontief Inverse Matrix (I−A)−1 captures the direct and indirect effects of changes in final demand on industry outputs
Matrix Basics and Notation
Matrices are rectangular arrays of numbers arranged in rows and columns
Denoted by uppercase letters (A, B, X)
Elements of a matrix are denoted by lowercase letters with subscripts indicating row and column (aij)
Square matrices have an equal number of rows and columns
Identity matrix (I) is a square matrix with 1s on the main diagonal and 0s elsewhere
Multiplying a matrix by the identity matrix results in the original matrix
Matrix addition and subtraction are performed element-wise between matrices of the same dimensions
Matrix multiplication (AB) is performed by multiplying rows of the first matrix (A) with columns of the second matrix (B)
The number of columns in A must equal the number of rows in B
Input-Output Tables and Matrices
Input-Output tables represent the flow of goods and services between industries and final consumers
Rows represent the distribution of an industry's output to other industries and final demand
Columns show the inputs required by an industry from other industries and value-added components (wages, profits)
Transactions table records the monetary value of flows between industries and final demand
Technical coefficients matrix (A) is derived from the transactions table by dividing each input by the corresponding industry's total output
Represents the direct input requirements per unit of output
Final demand vector (Y) shows the consumption of each industry's output by end-users
Total output vector (X) represents the total production of each industry, including intermediate and final demand
Leontief Model and Inverse Matrix
Leontief Model describes the relationship between industry outputs, technical coefficients, and final demand
Fundamental equation: X=AX+Y, where X is the total output vector, A is the technical coefficients matrix, and Y is the final demand vector
Solving for X yields: X=(I−A)−1Y, where (I−A)−1 is the Leontief Inverse Matrix
Leontief Inverse Matrix captures the direct and indirect effects of changes in final demand on industry outputs
Each element (lij) represents the total output required from industry i to satisfy one unit of final demand in industry j
Leontief Inverse is calculated by inverting the difference between the identity matrix (I) and the technical coefficients matrix (A)
Changes in final demand (ΔY) can be used to estimate changes in industry outputs (ΔX) using the Leontief Inverse: ΔX=(I−A)−1ΔY
Multiplier Effects and Economic Impacts
Multiplier effects capture the ripple effects of changes in final demand on the economy
Output multipliers measure the total change in output across all industries resulting from a one-unit change in final demand for a specific industry
Calculated by summing the elements in the corresponding column of the Leontief Inverse Matrix
Income multipliers measure the total change in income (wages and salaries) resulting from a one-unit change in final demand
Derived by multiplying the output multipliers by the income coefficients (income-to-output ratios)
Employment multipliers estimate the total change in employment resulting from a one-unit change in final demand
Obtained by multiplying the output multipliers by the employment coefficients (jobs-to-output ratios)
Multiplier effects can be decomposed into direct, indirect, and induced effects
Direct effects are the initial changes in the industry directly affected by the change in final demand
Indirect effects are the changes in industries that supply inputs to the directly affected industry
Induced effects are the changes in household spending resulting from changes in income
Applications in Economic Analysis
Input-Output Analysis is used to study the structure and interdependencies of an economy
Helps policymakers assess the potential impacts of economic shocks, such as changes in government spending or trade policies
Useful for analyzing the effects of investment projects or the introduction of new industries on the economy
Regional Input-Output Models are developed to study the economic structure and impacts at a regional level (state, county)
Environmental Input-Output Models incorporate environmental factors (pollution, resource use) to assess the environmental impacts of economic activities
Input-Output Analysis can be combined with other economic models (CGE models) for more comprehensive analyses
Limitations and Assumptions
Assumes fixed technical coefficients, implying constant returns to scale and no substitution between inputs
In reality, technical coefficients may change over time due to technological advancements or relative price changes
Assumes homogeneous products within each industry, ignoring product differentiation
Does not account for supply constraints, assuming that industries can always meet the demand for their products
Static model that does not capture dynamic changes in the economy over time
Aggregation bias may arise when grouping heterogeneous industries or products into broader categories
Requires extensive data on inter-industry transactions, which may be costly and time-consuming to collect
Assumes a closed economy, ignoring the effects of international trade
Problem-Solving Techniques
Constructing an Input-Output table involves collecting data on inter-industry transactions and final demand
Data sources include national accounts, industry surveys, and supply-and-use tables
Calculating technical coefficients requires dividing each input value by the corresponding industry's total output
Deriving the Leontief Inverse Matrix involves subtracting the technical coefficients matrix (A) from the identity matrix (I) and then finding the inverse
Can be done using matrix inversion techniques (e.g., Gauss-Jordan elimination)
Estimating changes in industry outputs due to changes in final demand involves multiplying the Leontief Inverse by the change in final demand vector
Calculating multipliers requires summing the elements in the corresponding column of the Leontief Inverse (output multipliers) and multiplying by income or employment coefficients
Interpreting the results involves analyzing the magnitude and distribution of changes in industry outputs, income, and employment
Sensitivity analysis can be conducted by varying the assumptions or input data to assess the robustness of the results