Warning: foreach() argument must be of type array|object, bool given in /var/www/html/web/app/themes/studypress-core-theme/template-parts/header/mobile-offcanvas.php on line 20

Although much of our discussion of measuring the elasticity of substitution for various production functions has assumed constant returns to scale, often that assumption is not necessary. This problem illustrates some of these cases. a. In footnote 6 we pointed out that, in the constant returns-to-scale case, the elasticity of substitution for a two-input production function is given by \\[ \sigma=\frac{f_{k} f_{l}}{f \cdot f_{k l}} \\] Suppose now that we define the homothetic production function \(F\) as \\[ F(k, l)=[f(k, l)]^{\gamma} \\] where \(f(k, l)\) is a constant returns-to-scale production function and \(\gamma\) is a positive exponent. Show that the elasticity of substitution for this production function is the same as the elasticity of substitution for the function \(f\) b. Show how this result can be applied to both the CobbDouglas and CES production functions.

Short Answer

Expert verified
In this exercise, we proved that the elasticity of substitution for a homothetic production function \(F(k,l) = [f(k,l)]^\gamma\) is the same as the elasticity of substitution for the function \(f(k,l)\), where \(f(k,l)\) is a constant returns-to-scale production function. By calculating the necessary partial derivatives and the elasticity of substitution formula, we arrived at the conclusion that \(\sigma_F = \sigma_f\). We also applied the result to Cobb-Douglas and CES production functions. For the Cobb-Douglas production function, the elasticity of substitution remains unchanged since it is already a constant returns-to-scale production function. For the CES production function, we showed that the result holds true for the elasticity of substitution, considering the transformation with the homothetic production function.

Step by step solution

01

Derive the necessary partial derivatives for the homothetic production function

First, we need to find the necessary partial derivatives for \(F(k,l)\), which are: \(F_k\), \(F_l\), and \(F_{kl}\). Since \(F(k,l) = [f(k,l)]^\gamma\), we have: \\[ F_k = \gamma [f(k,l)]^{\gamma - 1} f_k \\] \\[ F_l = \gamma [f(k,l)]^{\gamma - 1} f_l \\] \\[ F_{kl} = \gamma(\gamma - 1) [f(k,l)]^{\gamma - 2} f_k f_l + \gamma [f(k,l)]^{\gamma - 1} f_{kl} \\]
02

Calculate the elasticity of substitution for \(F\)

Using the given formula for calculating elasticity of substitution (\(\sigma\)) and the partial derivatives we calculated in step 1, we can find the elasticity of substitution for \(F\). \\[ \sigma_F = \frac{F_k F_l}{F \cdot F_{kl}} \\] Plug in the values of \(F_k\), \(F_l\), and \(F_{kl}\) we found in step 1: \\[ \sigma_F = \frac{\gamma [f(k,l)]^{\gamma - 1} f_k \cdot \gamma [f(k,l)]^{\gamma - 1} f_l}{[f(k,l)]^\gamma \cdot (\gamma(\gamma - 1) [f(k,l)]^{\gamma - 2} f_k f_l + \gamma [f(k,l)]^{\gamma - 1} f_{kl})} \\]
03

Simplify the expression for \(\sigma_F\)

By simplifying the expression above, we can show that the elasticity of substitution for the homothetic production function \(F\) is the same as the elasticity of substitution for the function \(f\). \\[ \sigma_F = \frac{\gamma^2 [f(k,l)]^{2\gamma - 2} f_k f_l}{\gamma [f(k,l)]^{\gamma - 1} [f(k,l)]^\gamma ( (\gamma - 1) [f(k,l)]^{- 2} f_k f_l + f_{kl})} \\] Cancel out common terms: \\[ \sigma_F = \frac{f_k f_l}{f \cdot f_{kl}} = \sigma_f \\] Thus, the elasticity of substitution for the homothetic production function \(F\) is the same as the elasticity of substitution for the function \(f\).
04

Apply the result to Cobb-Douglas and CES production functions

Now we will apply the result to the Cobb-Douglas and CES production functions. a) For Cobb-Douglas production function, it is already a constant returns-to-scale production function. Therefore, no transformation is needed, and the elasticity of substitution remains the same. b) For CES production function, let \(f(k,l)\) be the CES production function. Then we find: \\[ F(k,l) = [f(k,l)]^\gamma = [A(k^\rho + B l^\rho)^{\frac{1}{\rho}}]^\gamma = A^{\gamma}(k^\rho + B l^\rho)^{\frac{\gamma}{\rho}} \\] Now, since the elasticity of substitution for \(F\) is the same as that for \(f\), we know that the result holds for the CES production function as well.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with Vaia!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Sam Malone is considering renovating the bar stools at Cheers. The production function for new bar stools is given by \\[ q=0.1 k^{0.2} l^{0.8} \\] where \(q\) is the number of bar stools produced during the renovation week, \(k\) represents the number of hours of bar stool lathes used during the week, and \(l\) represents the number of worker hours employed during the period. Sam would like to provide 10 new bar stools, and he has allocated a budget of \(\$ 10,000\) for the project. a. Sam reasons that because bar stool lathes and skilled bar stool workers both cost the same amount (\$50 per hour), he might as well hire these two inputs in equal amounts. If Sam proceeds in this way, how much of each input will he hire and how much will the renovation project cost? b. Norm (who knows something about bar stools) argues that once again Sam has forgotten his microeconomics. He asserts that Sam should choose quantities of inputs so that their marginal (not average) productivities are equal. If Sam opts for this plan instead, how much of each input will he hire and how much will the renovation project cost? c. On hearing that Norm's plan will save money, Cliff argues that Sam should put the savings into more bar stools to provide seating for more of his USPS colleagues. How many more bar stools can Sam get for his budget if he follows Cliff's plan? d. Carla worries that Cliff's suggestion will just mean more work for her in delivering food to bar patrons. How might she convince Sam to stick to his original 10 -bar stool plan?

A local measure of the returns to scale incorporated in a production function is given by the scale elasticity \\[ e_{q, t}=\partial f(t k, t l) / \partial t \cdot t / q \text { evaluated at } t=1 \\] a. Show that if the production function exhibits constant returns to scale, then \(e_{q, t}=1\) b. We can define the output elasticities of the inputs \(k\) and \(l\) as \\[ \begin{aligned} e_{q, k} &=\frac{\partial f(k, l)}{\partial k} \cdot \frac{k}{q} \\ e_{q, l} &=\frac{\partial f(k, l)}{\partial l} \cdot \frac{l}{q} \end{aligned} \\] Show that \(e_{q, t}=e_{q, k}+e_{q, 1}\) c. A function that exhibits variable scale elasticity is \\[ q=\left(1+k^{-1} l^{-1}\right)^{-1} \\] Show that, for this function, \(e_{q, t} > 1\) for \(q < 0.5\) and that \\[ e_{q, t} < 1 \text { for } q > 0.5 \\] d. Explain your results from part (c) intuitively. Hint: Does \(q\) have an upper bound for this production function?

Suppose we are given the constant returns-to-scale CES production function \\[ q=\left(k^{\rho}+l^{\rho}\right)^{1 / \rho} \\] a. Show that \(M P_{k}=(q / k)^{1-\rho}\) and \(M P_{l}=(q / l)^{1-\rho}\) b. Show that \(R T S=(k / l)^{1-\rho} ;\) use this to show that \\[ \sigma=1 /(1-\rho) \\] c. Determine the output elasticities for \(k\) and \(l ;\) and show that their sum equals 1 d. Prove that \\[ \frac{q}{l}=\left(\frac{\partial q}{\partial l}\right)^{\sigma} \\] and hence that \\[ \ln \left(\frac{q}{l}\right)=\sigma \ln \left(\frac{\partial q}{\partial l}\right) \\] Note: The latter equality is useful in empirical work because we may approximate \(\partial q / \partial l\) by the competitively determined wage rate. Hence \(\sigma\) can be estimated from a regression of \(\ln (q / I)\) on \(\ln w\)

Suppose the production function for widgets is given by \\[ q=k l-0.8 k^{2}-0.2 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 \(M P_{1}\) 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?

Suppose that the production of crayons ( \(q\) ) is conducted at two locations and uses only labor as an input. The production function in location 1 is given by \(q_{1}=10 l_{1}^{0.5}\) and in location 2 by \(q_{2}=50 l_{2}^{0.5}\) a. If a single firm produces crayons in both locations, then it will obviously want to get as large an output as possible given the labor input it uses. How should it allocate labor between the locations to do so? Explain precisely the relationship between \(l_{1}\) and \(l_{2}\) b. Assuming that the firm operates in the efficient manner described in part (a), how does total output ( \(q\) ) depend on the total amount of labor hired \((l) ?\)

See all solutions

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.

Sign-up for free