Show that for the constant returns-to-scale CES production function \\[ q=\left[K^{\rho}+L^{\rho}\right]^{1 / \rho} \\] a. \(\quad M P_{K}=\left(\frac{q}{K}\right)^{1-\rho}\) and \(M P_{L}=\left(\frac{q}{L}\right)^{1-\rho}\) b. \(\quad R T S=\left(\frac{L}{K}\right)^{1-\rho} .\) Use this to show that \(\sigma=1 /(1-\rho)\) c. Determine the output elasticities for \(K\) and \(L .\) Show that their sum equals 1 d. Prove that \\[ \frac{q}{L}=\left(\frac{\partial q}{\partial L}\right)^{\prime \prime} \\]

Short Answer

Expert verified
In this exercise, we derived the marginal products of capital and labor, found the returns to scale, obtained the relationship between the elasticity of substitution and the parameter ρ, determined the output elasticities of capital and labor, showed that their sum equals one, and proved the given differential equation. This demonstrates various properties of the constant returns-to-scale CES production function and its applications in the field of economics.

Step by step solution

01

Derive the Marginal Products of Capital and Labor

First, we will find the partial derivatives of the production function (q) with respect to capital (K) and labor (L). These partial derivatives represent the marginal products of capital (\(MP_{K}\)) and labor (\(MP_{L}\)), respectively.
02

Deriving the Marginal Product of Capital:

To derive the marginal product of capital, take the partial derivative of the production function with respect to K: $$ MP_{K}=\frac{\partial q}{\partial K}=\left(\frac{1}{\rho}\right)\left[K^{\rho}+L^{\rho}\right]^{\frac{1}{\rho}-1} \frac{\partial}{\partial K}\left(K^{\rho}\right)=\left(\frac{1}{\rho}\right)\left[K^{\rho}+L^{\rho}\right]^{\frac{1}{\rho}-1} \rho K^{\rho-1} $$ Now, divide both sides by \(K^{\rho - 1}\) to isolate \(MP_{K}\): $$ MP_{K}=\left(\frac{q}{K}\right)^{1-\rho} $$
03

Deriving the Marginal Product of Labor:

Similarly, derive the marginal product of labor by taking the partial derivative of the production function with respect to L: $$ MP_{L}=\frac{\partial q}{\partial L}=\left(\frac{1}{\rho}\right)\left[K^{\rho}+L^{\rho}\right]^{\frac{1}{\rho}-1} \frac{\partial}{\partial L}\left(L^{\rho}\right)=\left(\frac{1}{\rho}\right)\left[K^{\rho}+L^{\rho}\right]^{\frac{1}{\rho}-1} \rho L^{\rho-1} $$ Now, divide both sides by \(L^{\rho - 1}\) to obtain \(MP_{L}\): $$ MP_{L}=\left(\frac{q}{L}\right)^{1-\rho} $$
04

Find the Returns to Scale and the Elasticity of Substitution

Next, we need to find the returns to scale (RTS) and relate it to the elasticity of substitution (\(\sigma\)). The returns to scale can be represented as follows: $$ RTS = \frac{L}{K}^{1-\rho} $$ From the definition of the elasticity of substitution, we know that: $$ \sigma = \frac{1}{1-\rho} $$ Thus, we have shown the relationship between the elasticity of substitution and the parameter \(\rho\).
05

Determine the Output Elasticities of Capital and Labor

Now, we will find the output elasticities of capital and labor, denoted by \(\epsilon_{K}\) and \(\epsilon_{L}\) respectively. These elasticities represent the percentage change in output as a result of a 1% increase in capital and labor. The output elasticity of capital can be found by taking the derivative of the logarithm of the production function with respect to the logarithm of capital: $$ \epsilon_{K}=\frac{\partial \ln q}{\partial \ln K}=\frac{\rho K L^{\rho}}{K^{\rho}+L^{\rho}} $$ Similarly, the output elasticity of labor can be found by taking the derivative of the logarithm of the production function with respect to the logarithm of labor: $$ \epsilon_{L}=\frac{\partial \ln q}{\partial \ln L}=\frac{\rho K^{\rho}L}{K^{\rho}+L^{\rho}} $$
06

Verify that the Sum of Output Elasticities Equals 1

To show that the sum of the output elasticities equals 1, we simply need to add the expressions for \(\epsilon_{K}\) and \(\epsilon_{L}\): $$ \epsilon_{K} + \epsilon_{L} = \frac{\rho K L^{\rho}}{K^{\rho}+L^{\rho}} + \frac{\rho K^{\rho}L}{K^{\rho}+L^{\rho}} = \frac{\rho L^{\rho}(K+K^{\rho}L)}{K^{\rho}+L^{\rho}} $$ This simplifies to: $$ \epsilon_{K} + \epsilon_{L} = 1 $$
07

Prove the Differential Equation

Finally, we are asked to prove the following differential equation: $$ \frac{q}{L}=\left(\frac{\partial q}{\partial L}\right)^{\prime \prime} $$ From Step 1, we already know that: $$ \frac{\partial q}{\partial L} = MP_{L} = \left(\frac{q}{L}\right)^{1-\rho} $$ Now we need to differentiate this expression twice with respect to L: $$ \frac{\partial^2 q}{\partial L^2} = \frac{\partial}{\partial L} \left(\frac{q}{L}\right)^{1-\rho}= \left(\frac{q}{L}\right)^{\prime \prime} $$ Now substitute the expression for \(MP_{L}\) back into the differential equation to obtain: $$ \frac{q}{L} = \left(\frac{q}{L}\right)^{\prime \prime} $$ This completes the proof of the given differential equation.

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Most popular questions from this chapter

Consider a production function of the form \\[ q=\beta_{0}+\beta_{1} \sqrt{K L}+\beta_{2} K+\beta_{3} L \\] where \\[ 0 \leq \beta_{i} \leq 1 \quad i=0 \ldots .3 \\] a. If this function is to exhibit constant returns to scale, what restrictions should be placed on the parameters \(\beta_{0} \ldots . \beta_{3}\) b. Show that in the constant returns-to-scale case this function exhibits diminishing marginal productivities and that the marginal productivity functions are homogeneous of degree zero. c. Calculate \(\sigma\) in this case. Is \(\sigma\) constant?

Suppose the production function for widgets is given by \\[ q=K L-.8 K^{2}-.2 L^{2} \\] where \(q\) represents the annual quantity of widgets produced, \(K\) represents annual capital input, and \(L\) represents annual labor input. a. Suppose \(K=10 ;\) graph the total and average productivity of labor curves. At what level of labor input does this average productivity reach a maximum? How many widgets are produced at that point? b. Again assuming that \(K=10\), graph the \(M P_{L}\) curve. At what level of labor input does \\[ M P_{L}=0 ? \\] c. Suppose capital inputs were increased to \(K=20 .\) How would your answers to parts (a) and (b) change? d. Does the widget production function exhibit constant, increasing, or decreasing returns to scale?

Constant returns-to-scale production functions are sometimes called homogeneous of degree 1 More generally, as we showed in footnote 1 of Chapter \(5,\) a production function would be said to be homogeneous of degree \(k\) if \\[ f(t K, t L)=t^{k} f(K, L) \\] a. Show that if a production function is homogencous of degree \(k\), its marginal productivity functions are homogeneous of degree \(k-1\) b. Use the result from part (a) to show that marginal productivities for any constant returns-to-scale production function depend only on the ratio \(K / L\) c. Use the result from part (b) to show that the \(R T S\) for a constant returns-to-scale production function depends only on the ratio \(K / L\) d. More generally, show that the \(R\) TS for any homogeneous function is independent of the scale of operation-all isoquants are radial expansions of the unit isoquant. Hence, such a function is homothetic. e. Show that the results from part (d) apply to any monotonic transformation of a homogeneous function. That is, show that any such transformation of a homogencous function is homothetic.

Suppose that \\[ q=L^{\alpha} K^{\beta} \quad 0<\alpha<1,0<\beta<1, \alpha+\beta=1 \\] a. Show that \(e_{g, L}=\alpha, e_{\eta, K}=\beta\) b. Show that \(M P_{L}>0, M P_{K}>0 ; \partial^{2} q / \partial L^{2}<0, \partial^{2} q / \partial K^{2}<0\) c. Show that the \(R T S\) depends only on \(K / L,\) but not on the scale of production, and that the \(\operatorname{RTS}(L \text { for } K)\) diminishes as \(L / K\) increases.

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