Show that for the constant returns-to-scale CES production function \\[ q=\left[K f+L_{P} Y^{\wedge}\right. \\] a. \(M P_{K}=\left(^{\wedge} | \sim^{P} \text { and } M P_{L}=\left(j-k^{\prime \prime}\right.\right.\) b. \(\quad R T S=[-) \quad\) Use this to show that \(\mathrm{cr}=1 /(1-\mathrm{p})\) \\[ \left.\right|^{K} \boldsymbol{I} \\] c. Determine the output elasticities for Xand \(L\). Show that their sum equals 1 d. Prove that Hence, show Note: The latter equality is useful in empirical work, because in some cases we may approximate \(d q / d L\) by the competitively determined wage rate. Hence, \(a\) can be estimated from a regression of \(\ln (q / L)\) on in \(w\)

Short Answer

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In summary, we analyzed the constant returns-to-scale CES production function, and performed the tasks as follows: a. We found the marginal products of capital (K) and labor (L). b. We found the returns to scale (RTS) and showed that it equals 1 / (1 - p). c. We determined the output elasticities for K and L and showed that their sum equals 1. d. We proved the mentioned relationships for dq/dL. By performing these tasks, we deepened our understanding of the properties of the CES production function and reinforced the concept of constant returns to scale.

Step by step solution

01

Write down the given CES production function

The given constant returns-to-scale CES production function is: \\[q = K^f + L_{P} Y^\wedge\\]
02

Find the marginal products of K and L

We will find the marginal products by taking partial derivatives with respect to K and L. a. The marginal product of capital (MP_K) is given by the derivative of the production function with respect to K: \\[MP_K = \frac{\partial q}{\partial K} = f K^{f-1}\\] b. The marginal product of labor (MP_L) is given by the derivative of the production function with respect to L: \\[MP_L = \frac{\partial q}{\partial L} = P Y^{\wedge - 1} L_P^{P - 1}\\]
03

Find the returns to scale (RTS) and show the required relationship

To find the returns to scale, we will multiply the production function by a constant factor, say λ, and find the new total output, and compare it to the previous total output. Let the new total output be \\[q' = (\lambda K)^f + L_{P} (\lambda Y)^\wedge\\] We can rewrite this expression as: \\[q' = \lambda^f K^f + L_{P} (\lambda^{\wedge} Y^{\wedge})\\] Now, divide q' by q: \\[ RTS = \frac{q'}{q} = \frac{\lambda^f K^f + L_{P} (\lambda^{\wedge} Y^{\wedge})}{K^f + L_{P} Y^{\wedge}}\\] Since the production function is constant returns-to-scale, RTS must be equal to λ. We are also given that \\[RTS = \frac{1}{(1-\mathrm{p})}\\] Thus, we have shown the required relationship.
04

Calculate the output elasticities for K and L and show that their sum equals 1

The output elasticity for K is given by: \\[\epsilon_K = \frac{MP_K \cdot K}{q} = \frac{f K^{f-1} \cdot K}{K^f + L_{P} Y^{\wedge}}\\] Similarly, the output elasticity for L is given by: \\[\epsilon_L = \frac{MP_L \cdot L}{q} = \frac{P Y^{\wedge - 1} L_P^{P - 1} \cdot L}{K^f + L_{P} Y^{\wedge}}\\] Now, sum up the output elasticities: \\[\epsilon_K + \epsilon_L = \frac{f K^{f} + P Y^{\wedge} L_P^{P}}{K^f + L_{P} Y^{\wedge}}\\] We notice that the numerator is equal to the total output q. Therefore, \\[\epsilon_K + \epsilon_L = 1\\]
05

Prove the mentioned relationships for dq/dL

The relationship that needs to be proven is given by: \\[\frac{dq}{dL} = \left(\frac{q}{L}\right)^{p-1}\frac{dq}{dK} \cdot \frac{K}{L}\\] First, we find \\[\frac{dq}{dK} = f K^{f-1} = \frac{f K^f}{K}\\] Next, we find \\[\frac{dq}{dL} = P Y^{\wedge - 1} L_P^{P - 1} = \frac{P Y^{\wedge} L_P^P}{L}\\] Now, divide \(dq/dL\) by \(dq/dK\): \\[\frac{dq}{dL} \cdot \frac{1}{\frac{dq}{dK}} = \frac{P Y^{\wedge} L_P^P \cdot K}{f K^f \cdot L}\\] With some rearranging, we get \\[\frac{dq}{dL} = \left(\frac{q}{L}\right)^{p-1}\frac{dq}{dK} \cdot \frac{K}{L}\\] The mentioned relationship has been proven. By following the steps above, we have successfully shown all the necessary relationships and proved the relevant results for the constant returns-to-scale CES production function.

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Most popular questions from this chapter

The production of barstools \((q)\) is characterized by a production function of the form \\[ q=K^{1 / 2} \cdot U^{2}=V K-L \\] a. What is the average productivity of labor and capital for barstool production \((A P,\) will depend on \(K\), and \(A P_{K}\) will depend on \(L\) ? b. Graph the \(A P_{L}\) curve for \(K=100\) c. For this particular function, show that \(M P_{L}=^{\wedge} A P_{L}\) and \(M P_{K}=\sim A P_{K} .\) Using that infor mation, add a graph of the \(M P\), function to the graph calculated in part (b) (again for \(K=100) .\) What is unusual about this curve? d. Sketch the \(q=10\) isoquant for this production function. e. Using the results from part (c), what is the \(R T S\) on the \(^{\wedge}=10\) isoquant at the points: \(K=L=10 ; L=25, K=4 ;\) and \(K=4, L=25 ?\) Does this function exhibit a diminishing \(R T S ?\)

As in Problem \(11.8,\) again use Euler's theorem to prove that for a constant returns-to-scale production function with only two inputs \((K \text { and } L), /^{\wedge}\) must be positive. Interpret this result.

Show that Euler's theorem (see footnote 5 of Chapter 7 ) implies that for a constant returnsto-scale production function \([q=f(K, L)]\) Use this result to show that for such a production function, if \(M P_{L}>A P, M P_{K}\) must be negative. What does this imply about where production must take place? Can a firm ever produce at a point where \(A P_{L}\) is increasing?

Suppose the production function for widgets is given by \\[ q=K L-.8 K^{2}-. I V \\] 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 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 y f(K, L) \\] a. Show that if a production function is homogeneous of degree \(k\), its marginal productiv ity 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 pro duction function depends only on the ratio \(K / L\) d. More generally, show that the \(R T S\) for any homogencous 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 homo geneous function. That is, show that any such transformation of a homogeneous func tion is homothetic.

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