/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 11 The Leontief production equation... [FREE SOLUTION] | 91Ó°ÊÓ

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The Leontief production equation, \(\mathbf{x}=C \mathbf{x}+\mathbf{d},\) is usually accompanied by a dual price equation, \(\mathbf{p}=C^{T} \mathbf{p}+\mathbf{v}\) where \(\mathbf{p}\) is a price vector whose entries list the price per unit for each sector's output, and \(\mathbf{v}\) is a value added vector whose entries list the value added per unit of output. Value added includes wages, profit, depreciation, etc. ) An important fact in economics is that the gross domestic product (GDP) can be expressed in two ways: \(\\{\text { gross domestic product }\\}=\mathbf{p}^{T} \mathbf{d}=\mathbf{v}^{T} \mathbf{x}\) Verify the second equality. [Hint: Compute \(\mathbf{p}^{T} \mathbf{x}\) in two ways.

Short Answer

Expert verified
The equality \(\mathbf{v}^{T} \mathbf{x} = \mathbf{p}^{T} \mathbf{d}\) is verified.

Step by step solution

01

Define the Given Equations

The given equations are \(\mathbf{p} = C^{T} \mathbf{p} + \mathbf{v}\) and \(\mathbf{x} = C \mathbf{x} + \mathbf{d}\). We need to show that the gross domestic product can be expressed as \(\mathbf{p}^{T} \mathbf{d} = \mathbf{v}^{T} \mathbf{x}\).
02

Calculate \(\mathbf{p}^{T} \mathbf{x}\) using the Definition of \(\mathbf{x}\)

We have \(\mathbf{x} = C \mathbf{x} + \mathbf{d}\). Multiply both sides by \(\mathbf{p}^{T}\) to get \(\mathbf{p}^{T} \mathbf{x} = \mathbf{p}^{T}(C \mathbf{x}) + \mathbf{p}^{T} \mathbf{d}\).
03

Substitute \(\mathbf{p}\) from Its Definition

From \(\mathbf{p} = C^{T} \mathbf{p} + \mathbf{v}\), we can rewrite it as \(\mathbf{p}^{T} = \mathbf{p}^{T}C + \mathbf{v}^{T}\). Use this to substitute into the equation \(\mathbf{p}^{T}(C \mathbf{x}) = (\mathbf{p}^{T}C) \mathbf{x}\).
04

Simplify \(\mathbf{p}^{T} \mathbf{x}\)

Substitute \(\mathbf{p}^{T} = \mathbf{p}^{T}C + \mathbf{v}^{T}\) into \(\mathbf{p}^{T} \mathbf{x} = \mathbf{p}^{T}(C \mathbf{x}) + \mathbf{p}^{T} \mathbf{d}\) to get \(\mathbf{v}^{T} \mathbf{x} + \mathbf{p}^{T} \mathbf{d}\).
05

Rearrange and Conclude

Noting that \((\mathbf{p}^{T}C) \mathbf{x} = \mathbf{p}^{T}(C \mathbf{x})\) and \((\mathbf{p}^{T}C) \mathbf{x} = \mathbf{p}^{T}x\), substitute and simplify to verify that \(\mathbf{v}^{T} \mathbf{x} = \mathbf{p}^{T} \mathbf{d}\). Thus, achieving the expression of GDP as \(\mathbf{v}^{T} \mathbf{x} = \mathbf{p}^{T} \mathbf{d}\).

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Dual Price Equation
The dual price equation is a fascinating component of the Leontief production model. This equation is represented as \( \mathbf{p} = C^{T} \mathbf{p} + \mathbf{v} \), where \( \mathbf{p} \) represents the price vector, listing the price per unit for each sector's output.
The matrix \( C^{T} \) is the transpose of the consumption matrix, which shows how each sector consumes goods from others. The vector \( \mathbf{v} \) is the value-added vector, which includes total earnings like wages, profit, and depreciation per unit of output.

This equation helps in understanding how each sector's price is interconnected with the others within an economy. It's essential for economic analysis as it allows us to see the value addition in each step across different sectors. Understanding this equation is crucial for economists when analyzing how changes in one sector's prices can influence other sectors and the economy as a whole.
Gross Domestic Product
Gross Domestic Product (GDP) is a key economic indicator that measures the total value of all goods and services produced within a country's borders. In our context, GDP can be expressed in two distinct yet equivalent forms:
  • \( \mathbf{p}^{T} \mathbf{d} \)
  • \( \mathbf{v}^{T} \mathbf{x} \)

The first expression \( \mathbf{p}^{T} \mathbf{d} \) is the total value of final demands, essentially the value produced and demanded by the economy. The latter, \( \mathbf{v}^{T} \mathbf{x} \), represents the total value added by the sectors, highlighting the income generated through wages, profits, and other value additions.

Understanding these expressions allows us to see the GDP as both the cost of production and the value added. This duality is important for verifying that what an economy produces equals what is demanded, ensuring a balanced economic view.
Price Vector
The price vector, denoted by \( \mathbf{p} \), is a fundamental economic concept in the Leontief production model. It lists the price per unit for output in each sector of the economy.
This vector is crucial for determining how different goods and services are valued in terms of monetary units. It reflects the relative importance and value of each sector's output, influencing economic decisions, budgeting, and planning.

By analyzing the price vector, economists can gain insights into inflation rates, price stability, and sectoral price changes. It acts as a tool to balance supply and demand by adjusting prices to match economic goals. Understanding the components of the price vector is pivotal for making informed economic policies.
Value Added Vector
The value added vector \( \mathbf{v} \) acts as a critical insight into an economy's internal dynamics. It includes earnings from wages, profits, and depreciation for each unit of output produced by a sector.
In economic terms, the value added by a sector is the net output or actual contribution, subtracting the cost of inputs used in production. This measure is significant because it shows true economic production value and efficiency.

The vector plays a crucial role in analyzing sector performance, productivity, and the real economic contribution of businesses and industries. It emphasizes the importance of measuring economic success not just by output, but by what is truly "added" through transformation and creation of value in the economy. This vector aids economists and policymakers in determining areas for investment and improvement.

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Most popular questions from this chapter

Let \(\mathbf{v}_{1}=\left[\begin{array}{r}{1} \\ {-2} \\ {4} \\\ {3}\end{array}\right], \mathbf{v}_{2}=\left[\begin{array}{r}{4} \\ {-7} \\\ {9} \\ {7}\end{array}\right], \mathbf{v}_{3}=\left[\begin{array}{r}{5} \\\ {-8} \\ {6} \\ {5}\end{array}\right],\) and \(\mathbf{u}=\) \(\left[\begin{array}{r}{-4} \\ {10} \\ {-7} \\ {-5}\end{array}\right] .\) Determine if \(\mathbf{u}\) is in the subspace of \(\mathbb{R}^{4}\) generated by \(\left\\{\mathbf{v}_{1}, \mathbf{v}_{2}, \mathbf{v}_{3}\right\\}\)

Suppose columns \(1,3,5,\) and 6 of a matrix \(A\) are linearly independent (but are not necessarily pivot columns) and the rank of \(A\) is \(4 .\) Explain why the four columns mentioned must be a basis for the column space of \(A .\)

In Exercises 31–36, respond as comprehensively as possible, and justify your answer. If \(P\) is a \(5 \times 5\) matrix and Nul \(P\) is the zero subspace, what can you say about solutions of equations of the form \(P \mathbf{x}=\mathbf{b}\) for \(\mathbf{b}\) in \(\mathbb{R}^{5} ?\)

In Exercises 17 and \(18,\) mark each statement True or False. Justify each answer. Here \(A\) is an \(m \times n\) matrix. a. If \(\mathcal{B}\) is a basis for a subspace \(H,\) then each vector in \(H\) can be written in only one way as a linear combination of the vectors in \(\mathcal{B}\) . bectors in \(\mathcal{B}\) . b. If \(\mathcal{B}=\left\\{\mathbf{v}_{1}, \ldots, \mathbf{v}_{p}\right\\}\) is a basis for a subspace \(H\) of \(\mathbb{R}^{n},\) then the correspondence \(\mathbf{x} \mapsto[\mathbf{x}]_{\mathcal{B}}\) makes \(H\) look and act the same as \(\mathbb{R}^{p}\) . c. The dimension of Nul \(A\) is the number of variables in the equation \(A \mathbf{x}=\mathbf{0} .\) d. The dimension of the column space of \(A\) is rank \(A .\) e. If \(H\) is a \(p\) -dimensional subspace of \(\mathbb{R}^{n},\) then a linearly independent set of \(p\) vectors in \(H\) is a basis for \(H .\)

Exercises \(23-26\) display a matrix \(A\) and an echelon form of \(A .\) Find a basis for \(\operatorname{Col} A\) and a basis for Nul \(A .\) $$ \begin{aligned} A &=\left[\begin{array}{rrrrr}{3} & {-1} & {7} & {3} & {9} \\\ {-2} & {2} & {-2} & {7} & {5} \\ {-5} & {9} & {3} & {3} & {4} \\ {-2} & {6} & {6} & {3} & {7}\end{array}\right] \\ & \sim\left[\begin{array}{rrrrr}{3} & {-1} & {7} & {0} & {6} \\ {0} & {2} & {4} & {0} & {3} \\ {0} & {0} & {0} & {1} & {1} \\ {0} & {0} & {0} & {0} & {0}\end{array}\right] \end{aligned} $$

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