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?

Short Answer

Expert verified
Is the elasticity of substitution constant? Answer: The production function exhibits constant returns to scale when β₁ = ½. The marginal productivity functions have diminishing returns and are homogeneous of degree zero. However, the elasticity of substitution (σ) is not constant.

Step by step solution

01

Part a: Constant Returns to Scale

To exhibit constant returns to scale, we need to show that doubling the inputs (capital K and labor L) results in a doubling of output q. Let's denote this scaled version of the inputs as \(K' = 2K\) and \(L' = 2L\). Then, we can rewrite the production function with these scaled inputs: \(q' = \beta_0 + \beta_1 \sqrt{K'L'} + \beta_2 K' + \beta_3 L'\) We want this output, q', to be twice the original output q: \(2q = \beta_0 + \beta_1 \sqrt{2K \times 2L} + \beta_2 (2K) + \beta_3 (2L)\) Substituting the original production function, we have: \(2(\beta_0 + \beta_1 \sqrt{KL} + \beta_2 K + \beta_3 L) = \beta_0 + \beta_1 \sqrt{4KL} + 2\beta_2 K + 2\beta_3 L\) Simplifying: \(\beta_0 + 2 \beta_1 \sqrt{KL} + \beta_2 K + \beta_3 L = \beta_0 + \beta_1 \sqrt{4KL} + 2 \beta_2 K + 2 \beta_3 L\) For this equation to hold, we must have: \(\beta_1 = \frac{1}{2}\) So the constraint for constant returns to scale is \(\beta_1 = \frac{1}{2}\).
02

Part b: Diminishing Marginal Productivities and Homogeneity of Degree Zero

To show that the marginal productivity functions exhibit diminishing returns and are homogeneous of degree zero, we first need to calculate the marginal product of capital and labor: \(\frac{\partial q}{\partial K} = \frac{1}{2} \beta_1 \frac{L}{\sqrt{KL}} + \beta_2 = \frac{\beta_1 L}{2\sqrt{KL}} + \beta_2\) \(\frac{\partial q}{\partial L} = \frac{1}{2} \beta_1 \frac{K}{\sqrt{KL}} + \beta_3 = \frac{\beta_1 K}{2\sqrt{KL}} + \beta_3\) For diminishing returns, we need the second derivatives to be negative: \(\frac{\partial^2 q}{\partial K^2} = -\frac{\beta_1 L}{4K\sqrt{KL}} < 0\) \(\frac{\partial^2 q}{\partial L^2} = -\frac{\beta_1 K}{4L\sqrt{KL}} < 0\) Since these second derivatives are negative, we have diminishing marginal productivities. Now, to show that the marginal productivity functions are homogeneous of degree zero, we need to show that the functions are invariant under scaling: \(\frac{\partial q'}{\partial K'} = \frac{\beta_1 L'}{2\sqrt{K'L'}} + \beta_2 = \frac{\beta_1 (2L)}{2\sqrt{2K \times 2L}} + \beta_2 = \frac{\beta_1 L}{2\sqrt{KL}} + \beta_2 = \frac{\partial q}{\partial K}\) \(\frac{\partial q'}{\partial L'} = \frac{\beta_1 K'}{2\sqrt{K'L'}} + \beta_3 = \frac{\beta_1 (2K)}{2\sqrt{2K \times 2L}} + \beta_3 = \frac{\beta_1 K}{2\sqrt{KL}} + \beta_3 = \frac{\partial q}{\partial L}\) Thus, the marginal productivity functions are homogeneous of degree zero.
03

Part c: Calculating \(\sigma\) and its Constancy

Elasticity of substitution \(\sigma\) is given by: \(\sigma = \frac{d(\ln(\frac{K}{L}))}{d(\ln(\frac{\frac{\partial q}{\partial K}}{\frac{\partial q}{\partial L}}))}\) We first find the ratio \(\frac{\frac{\partial q}{\partial K}}{\frac{\partial q}{\partial L}}\): \(\frac{\frac{\partial q}{\partial K}}{\frac{\partial q}{\partial L}} = \frac{\frac{\beta_1 L}{2\sqrt{KL}} + \beta_2}{\frac{\beta_1 K}{2\sqrt{KL}} + \beta_3}\) Now, we take the natural logarithm of the ratio and differentiate it with respect to \(\ln(\frac{K}{L})\): \(\frac{d(\ln(\frac{\frac{\partial q}{\partial K}}{\frac{\partial q}{\partial L}}))}{d(\ln(\frac{K}{L}))}\) Due to the complexity of the expression, this derivative cannot be simplified, and hence it is not constant. Thus, \(\sigma\) is not constant in this case.

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Most popular questions from this chapter

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.

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?

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} \\]

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.

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