The "expenditure elasticity" for a good is defined as the proportional change in total expenditures on the good in response to a 1 percent change in income. That is, $$\mathbf{T}^{*}-\mathbf{M} \quad \overline{dl} \quad \overline{p_{x} x^{2}}$$ Prove that \(e_{R \cdot} \quad x=e_{X} .\) Show also that \(e_{P \cdot} \quad x z_{x}=1+e_{x z} .\) Both of these results are useful for empirical work in cases where quantity measures are not available, because income and price elasticities can be derived from expenditure elasticities.

Short Answer

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Answer: The two identities related to expenditure elasticity for a good proven in the solution are: 1) \(e_{P_x} \cdot x_j = e_{xj}\), and 2) \(e_{P_x \cdot x, P_x} = 1 + e_{x, p_x}\).

Step by step solution

01

Differentiate the expenditure function

We start by differentiating the expenditure function \(P_x X\) with respect to income \(I\). This gives us the following expression: $$ \frac{\partial P_x X}{\partial I} = P_x \frac{\partial X}{\partial I} $$ Now, we can substitute this expression back into the expenditure elasticity equation: $$ e_{P_x \cdot x, 1} = P_x \frac{\partial X}{\partial I} \cdot \frac{I}{P_x X} $$
02

Prove the first identity

To prove the first identity, let's first find the elasticity of expenditure with respect to quantity, \(x_j\). We start with the definition of elasticity: $$ e_{P_x \cdot x, x_j} = \frac{\partial P_x X}{\partial x_j} \cdot \frac{x_j}{P_x X} $$ Now, differentiate the expenditure function (\(P_x X = P_x x_j\)) with respect to \(x_j\): $$ \frac{\partial P_x x_j}{\partial x_j} = P_x $$ Substitute this back into the elasticity equation: $$ e_{P_x \cdot x, x_j} = P_x \cdot \frac{x_j}{P_x X} $$ We can now show the identity \(e_{P_x} \cdot x_j = e_{xj}\), by substituting the value of \(e_{P_x \cdot x, 1}\) we found in Step 1: $$ e_{P_x} \cdot x_j = P_x \frac{\partial X}{\partial I} \cdot \frac{I}{P_x X} \cdot x_j = P_x \cdot \frac{x_j}{P_x X} = e_{xj} $$
03

Prove the second identity

To prove the second identity, let's find the elasticity of expenditure with respect to price, \(P_x\). We start with the definition of elasticity: $$ e_{P_x \cdot x, P_x} = \frac{\partial P_x X}{\partial P_x} \cdot \frac{P_x}{P_x X} $$ Now, differentiate the expenditure function (\(P_x X = P_x x_j\)) with respect to \(P_x\): $$ \frac{\partial P_x x_j}{\partial P_x} = x_j $$ Substitute this back into the elasticity equation: $$ e_{P_x \cdot x, P_x} = x_j \cdot \frac{P_x}{P_x X} $$ The income elasticity of demand, \(e_{x, p_x}\), is given by: $$ e_{x, p_x} = \frac{\partial X}{\partial p_x} \cdot \frac{p_x}{X} $$ Now, differentiate the demand function (\(X = \frac{I}{P_x}\)) with respect to \(p_x\): $$ \frac{\partial \frac{I}{P_x}}{\partial p_x} = -\frac{I}{P_x^2} $$ Substitute this back into the elasticity equation: $$ e_{x, p_x} = -\frac{I}{P_x^2} \cdot \frac{p_x}{X} $$ Now we can show the identity \(e_{P_x \cdot x, P_x} = 1 + e_{x, p_x}\). First, let's find the value of \(1 + e_{x, p_x}\): $$ 1 + e_{x, p_x} = 1 - \frac{I}{P_x^2} \cdot \frac{p_x}{X} $$ Substitute the value of \(X = \frac{I}{P_x}\): $$ 1 + e_{x, p_x} = 1 - \frac{I}{P_x^2} \cdot \frac{p_x P_x}{I} = 1 - \frac{P_x}{P_x X} $$ Comparing this with the value we found for \(e_{P_x \cdot x, P_x}\): $$ e_{P_x \cdot x, P_x} = 1 + e_{x, p_x} $$ Thus, we have proven both identities and shown how income and price elasticity can be derived from expenditure elasticities.

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Most popular questions from this chapter

Suppose that ham and cheese are pure complements- -they will always be used in the ratio of one slice of ham to one slice of cheese to make a sandwich. Suppose also that ham and cheese sandwiches are the only goods that a consumer can buy and that bread is free. Show that if the price of a slice of ham equals the price of a slice of cheese, a. The own-price elasticity of demand for ham is \(-| ;\) and b. The cross-price elasticity of a change in the price of cheese on ham consumption is also - - c. How would your answers to (a) and (b) change if a slice of ham cost twice as much as a slice of cheese? \(\\{\text {Hint}\) : Use the Slutsky equation - what is the substitution elasticity here?)

A luxury is defined as a good for which the income elasticity of demand is greater than 1 Show that for a two-good economy, both goods cannot be luxuries. (Hint: What happens if both goods are luxuries and income is increased by 10 percent?)

Suppose there are \(n\) individuals, each with a linear demand curve for \(Q\) of the form $$Q i=\mathrm{a},+b_{i} P+c j+d i P^{\prime} \quad i=1, n$$ where the parameters \(a, b_{h} c_{h}\) and \(d,\) differ among individuals. Show that at any point, the price elasticity of the market demand curve is independent of \(P^{\prime}\) and the distribution of income. Would this be true if each individual's demand for \(Q\) were instead linear in logarithms? Explain.

A formal definition of what we have been calling the substitution elasticity is $$_{a}-d \frac{\operatorname{din} Y / X}{d(\ln M R S)}-\frac{/ \operatorname{din} M R S}{\sim \operatorname{din} Y / X} |-\mathrm{i}$$ a. Interpret this as an elasticity-what variables are being changed and how do these changes (in proportional terms) reflect the curvature of indifference curves. (See also the discussion in Chapter 11 of the elasticity of substitution in the context of a produc tion function.) b. Apply the definition of \(a\) given above to the CES utility function $$X^{s} \quad Y^{s}$$ Show that \(a=j^{\wedge}\) and that this value is constant for all values of \(X\) and \(Y\), thereby justifying the CES function's name.

In Example 7.2 we showed that with two goods the price elasticity of demand of a compensated demand curve is given by where \(s_{x}\) is the share of income spent on good \(X\) and \(c r\) is the substitution elasticity. Use this result together with the elasticity interpretation of the Slutsky equation to show that: a. if \(\mathrm{cr}=1\) (the Cobb-Doublas case), $$e_{x}, P_{x}+e_{Yy, Py}=-2$$ b. if \(a>1\) implies \(e_{x} p_{x}+e_{y} p_{Y}<-2\) and \(c r<1\) implies \(e_{x z_{x}}+e_{x x_{y}}>\sim 2 .\) These results can easily be generalized to cases of more than two goods.

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