Long Run Total Cost Example
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
1 Objective 2 Examples of Cost Functions
BEE1020 { Basic Mathematical Economics Dieter Balkenborg Week 8, Lecture Thursday 28.11.02 Department of Economics Increasing and convex functions University of Exeter 1Objective The ¯rst and the second derivative of a function contain important qualitative information about the graph of a function. The ¯rst derivative of a function measures the steepness of its graph. The second derivative (the derivative of the derivative) measures how \curved" the graph is. We illustrate this and discuss for cost functions what it means in economic terms. 2 Examples of cost functions A function describes how one quantity changes in response to another quantity. An ex- ample is the total cost function of a ¯rm. Consider, for instance, a publisher selling a particular newspaper. His production costs depend on the number of newspapers he prints. This information { together with information on the demand side { will be im- portant if the publisher tries to make a pro¯t out of his business. There are three ways to describe the relation between production costs and the number of newspapers produced: 1. by a table, 2. by a graph, 3. using an algebraic expression to describe the relationship. Here are three examples of types of cost functions frequently used in microeconomics. 2.1 Example 1: Constant marginal costs In tabular form: quantity (in 100.000) 0 1 2 3 4 5 6 7 total costs (in 1000$) 90 110 130 150 170 190 210 230 With the aid of a graph: 220 200 180 160 140 TC120 100 80 60 40 20 0 1234567Q In algebraic form: TC(Q)=90+20Q 2.2 Example 2: Increasing -
A Primer on Profit Maximization
Central Washington University ScholarWorks@CWU All Faculty Scholarship for the College of Business College of Business Fall 2011 A Primer on Profit aM ximization Robert Carbaugh Central Washington University, [email protected] Tyler Prante Los Angeles Valley College Follow this and additional works at: http://digitalcommons.cwu.edu/cobfac Part of the Economic Theory Commons, and the Higher Education Commons Recommended Citation Carbaugh, Robert and Tyler Prante. (2011). A primer on profit am ximization. Journal for Economic Educators, 11(2), 34-45. This Article is brought to you for free and open access by the College of Business at ScholarWorks@CWU. It has been accepted for inclusion in All Faculty Scholarship for the College of Business by an authorized administrator of ScholarWorks@CWU. 34 JOURNAL FOR ECONOMIC EDUCATORS, 11(2), FALL 2011 A PRIMER ON PROFIT MAXIMIZATION Robert Carbaugh1 and Tyler Prante2 Abstract Although textbooks in intermediate microeconomics and managerial economics discuss the first- order condition for profit maximization (marginal revenue equals marginal cost) for pure competition and monopoly, they tend to ignore the second-order condition (marginal cost cuts marginal revenue from below). Mathematical economics textbooks also tend to provide only tangential treatment of the necessary and sufficient conditions for profit maximization. This paper fills the void in the textbook literature by combining mathematical and graphical analysis to more fully explain the profit maximizing hypothesis under a variety of market structures and cost conditions. It is intended to be a useful primer for all students taking intermediate level courses in microeconomics, managerial economics, and mathematical economics. It also will be helpful for students in Master’s and Ph.D. -
Report No. 2020-06 Economies of Scale in Community Banks
Federal Deposit Insurance Corporation Staff Studies Report No. 2020-06 Economies of Scale in Community Banks December 2020 Staff Studies Staff www.fdic.gov/cfr • @FDICgov • #FDICCFR • #FDICResearch Economies of Scale in Community Banks Stefan Jacewitz, Troy Kravitz, and George Shoukry December 2020 Abstract: Using financial and supervisory data from the past 20 years, we show that scale economies in community banks with less than $10 billion in assets emerged during the run-up to the 2008 financial crisis due to declines in interest expenses and provisions for losses on loans and leases at larger banks. The financial crisis temporarily interrupted this trend and costs increased industry-wide, but a generally more cost-efficient industry re-emerged, returning in recent years to pre-crisis trends. We estimate that from 2000 to 2019, the cost-minimizing size of a bank’s loan portfolio rose from approximately $350 million to $3.3 billion. Though descriptive, our results suggest efficiency gains accrue early as a bank grows from $10 million in loans to $3.3 billion, with 90 percent of the potential efficiency gains occurring by $300 million. JEL classification: G21, G28, L00. The views expressed are those of the authors and do not necessarily reflect the official positions of the Federal Deposit Insurance Corporation or the United States. FDIC Staff Studies can be cited without additional permission. The authors wish to thank Noam Weintraub for research assistance and seminar participants for helpful comments. Federal Deposit Insurance Corporation, [email protected], 550 17th St. NW, Washington, DC 20429 Federal Deposit Insurance Corporation, [email protected], 550 17th St. -
Working Paper No
Department of Economics Natural or Unnatural Monopolies in UK Telecommunications? Lisa Correa Working Paper No. 501 September 2003 ISSN 1473-0278 Natural or Unnatural Monopolies In UK ∗ Telecommunications? ≅ Lisa Correa September 2003 ABSTRACT This paper analyses whether scale economies exists in the UK telecommunications industry. The approach employed differs from other UK studies in that panel data for a range of companies is used. This increases the number of observations and thus allows potentially for more robust tests for global subadditivity of the cost function. The main findings from the study reveal that although the results need to be treated with some caution allowing/encouraging infrastructure competition in the local loop may result in substantial cost savings. JEL Classification Numbers: D42, L11, L12, L51, L96, Keywords: Telecommunications, Regulation, Monopoly, Cost Functions, Scale Economies, Subadditivity ∗ The author is indebted to Richard Allard and Paul Belleflamme for their encouragement and advice. She would however also like to thank Richard Green and Leonard Waverman for their insightful comments and recommendations on an earlier version of this paper. All views expressed in the paper and any remaining errors are solely the responsibility of the author. ≅ Department of Economics, Queen Mary, University of London (UK). Preferred e- mail address for comments is [email protected] 1 Natural or Unnatural Monopolies in U.K. Telecommunications? 1. Introduction The UK has historically pursued a policy of infrastructure or local loop competition in the telecommunications market with the aim of delivering dynamic competition, the key focus of which is innovation. Recently, however, Directives from Europe have been issued which could be argued discourages competition in the local loop. -
THE COSTS of PRODUCTION WHAT ARE COSTS? Costs As Opportunity Costs Economic Profit Versus Accounting Profit
THE COSTS OF PRODUCTION The Market Forces of Supply and Demand •Supply and demand are the two words that economists use most often. •Supply and demand are the forces that make market economies work. •Modern microeconomics is about supply, demand, and market equilibrium. WHAT ARE COSTS? •According to the Law of Supply:y •Firms are willing to produce and sell a greater quantity of a good when the price of the good is high. •This results in a supply curve that slopes upward. •The Firm’s Objective•The economic goal of the firm is to maximize profits. Total Revenue, Total Cost, and Profit •Total Revenue•The amount a firm receives for the sale of its output. •Total Cost•The market value of the inputs a firm uses in production. •Profit is the firm’s total revenue minus its total cost. •Profit = Total revenue - Total cost Costs as Opportunity Costs •A firm’s cost of production includes all the opportunity costs of making its output of goods and services. •Explicit and Implicit Costs •A firm’s cost of production include explicit costs and implicit costs. •Explicit costs are input costs that require a direct outlay of money by the firm. •Implicit costs are input costs that do not require an outlay of money by the firm. Economic Profit versus Accounting Profit •Economists measure a firm’s economic profit as total revenue minus total cost, including both explicit and implicit costs. •Accountants measure the accounting profit as the firm’s total revenue minus only the firm’s explicit costs. •When total revenue exceeds both explicit and implicit costs, the firm earns economic profit. -
Returns to Scale and Size in Agricultural Economics
Returns to Scale and Size in Agricultural Economics John W. McClelland, Michael E. Wetzstein, and Wesley N. Musser Differences between the concepts of returns to size and returns to scale are systematically reexamined in this paper. Specifically, the relationship between returns to scale and size are examined through the use of the envelope theorem. A major conclusion of the paper is that the level of abstraction in applying a cost function derived from a homothetic technology within a relevant range of the expansion path may not be severe when compared to the theoretical, estimative, and computational advantages of these technologies. Key words: elasticity of scale, envelope theorem, returns to size. Agricultural economists investigating long-run scale, Euler's theorem, and the form of pro- relationships among levels of inputs, outputs, duction functions. However, the direct link be- and costs generally use concepts of returns to tween returns to size and scale is not devel- scale and size. Econometric studies which uti- oped. Hanoch investigates the elasticity of scale lize production or profit functions commonly and size in terms of variation with output and are concerned with returns to scale (de Janvry; illustrates that only at the cost-minimizing in- Lau and Yotopoulos), while synthetic studies put combinations are the two concepts equiv- of relationships between output and cost uti- alent. Hanoch further provides a proposition lize returns to size (Hall and LaVeen; Rich- stating that Frisch's "Regular Ulta-Passum ardson and Condra). However, as noted by Law" is neither necessary nor sufficient for a Bassett, the word scale is sometimes also used production technology to be associated with to mean size (of a plant). -
Cost Functions Definitions of Costs Economic Cost
Cost Functions [See Chap 10] . 1 Definitions of Costs • Economic costs include both implicit and explicit costs. • Explicit costs include wages paid to employees and the costs of raw materials. • Implicit costs include the opportunity cost of the entrepreneur and the capital used for production. 2 Economic Cost • The economic cost of any input is its opportunity cost: – the remuneration the input would receive in its best alternative employment 3 1 Model • Firm produces single output, q • Firm has N inputs {z 1,…z N}. • Production function q = f(z 1,…z N) – Monotone and quasi-concave. • Prices of inputs {r 1,…r N}. • Price of output p. 4 Firm’s Payoffs • Total costs for the firm are given by total costs = C = r1z1 + r2z2 • Total revenue for the firm is given by total revenue = pq = pf (z1,z2) • Economic profits ( π) are equal to π = total revenue - total cost π = pq - r1z1 - r2z2 π = pf (z1,z2) - r1z1 - r2z2 5 Firm’s Problem • We suppose the firm maximizes profits. • One-step solution – Choose (q,z 1,z 2) to maximize π • Two-step solution – Minimize costs for given output level. – Choose output to maximize revenue minus costs. • We first analyze two-step method – Where do cost functions come from? 6 2 COST MINIMIZATION PROBLEM . 7 Cost-Minimization Problem (CMP) • The cost minimization problem is min 1zr 1 + r2 z2 s.t. f (z1, z2 ) ≥ q and z1, z2 ≥ 0 • Denote the optimal demands by zi*(r 1,r 2,q) • Denote cost function by C(r 1,r 2,q) = r 1z1*(r 1,r 2,q) + r 2z2*(r 1,r 2,q) • Problem very similar to EMP. -
Principles of Economics, Case and Fair,8E
Chapter 8 Short-Run Costs and Output Decisions Prepared by: Fernando & Yvonn Quijano © 2007 Prentice Hall Business Publishing Principles of Economics 8e by Case and Fair Short-Run Costs 8 and Output Decisions Chapter Outline Costs in the Short Run Fixed Costs Variable Costs Total Costs Run Costs and Costs Run - Short-Run Costs: A Review Output Decisions Output Output Decisions: Revenues, Costs, and Profit Maximization Total Revenue (TR) and Marginal Revenue (MR) Comparing Costs and Revenues to Maximize Profit The Short-Run Supply Curve CHAPTER 8: Short CHAPTER Looking Ahead © 2007 Prentice Hall Business Publishing Principles of Economics 8e by Case and Fair 2 of 31 SHORT-RUN COSTS AND OUTPUT DECISIONS You have seen that firms in perfectly competitive industries make three specific decisions. DECISIONS are based on INFORMATION 1. The quantity of output to 1. The price of output Run Costs and Costs Run - supply Output Decisions Output 2. How to produce that 2. Techniques of production output (which technique available* to use) 3. The quantity of each 3. The price of inputs* input to demand *Determines production costs CHAPTER 8: Short CHAPTER FIGURE 8.1 Decisions Facing Firms © 2007 Prentice Hall Business Publishing Principles of Economics 8e by Case and Fair 3 of 31 COSTS IN THE SHORT RUN fixed cost Any cost that does not depend on the firm’s level of output. These costs are incurred even if the firm is producing nothing. There are no fixed costs in the long run. Run Costs and Costs Run - variable cost A cost that depends on the Output Decisions Output level of production chosen. -
Comprehensive Total Cost of Ownership Quantification for Vehicles with Different Size Classes and Powertrains
ANL/ESD-21/4 Comprehensive Total Cost of Ownership Quantification for Vehicles with Different Size Classes and Powertrains Energy Systems Division About Argonne National Laboratory Argonne is a U.S. Department of Energy laboratory managed by UChicago Argonne, LLC under contract DE-AC02-06CH11357. The Laboratory’s main facility is outside Chicago, at 9700 South Cass Avenue, Lemont, Illinois 60439. For information about Argonne and its pioneering science and technology programs, see www.anl.gov. DOCUMENT AVAILABILITY Online Access: U.S. Department of Energy (DOE) reports produced after 1991 and a growing number of pre-1991 documents are available free at OSTI.GOV (http://www.osti.gov/), a service of the US Dept. of Energy’s Office of Scientific and Technical Information. Reports not in digital format may be purchased by the public from the National Technical Information Service (NTIS): U.S. Department of Commerce National Technical Information Service 5301 Shawnee Road Alexandria, VA 22312 www.ntis.gov Phone: (800) 553-NTIS (6847) or (703) 605-6000 Fax: (703) 605-6900 Email: [email protected] Reports not in digital format are available to DOE and DOE contractors from the Office of Scientific and Technical Information (OSTI): U.S. Department of Energy Office of Scientific and Technical Information P.O. Box 62 Oak Ridge, TN 37831-0062 www.osti.gov Phone: (865) 576-8401 Fax: (865) 576-5728 Email: [email protected] Disclaimer This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor UChicago Argonne, LLC, nor any of their employees or officers, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. -
Thesis-Marion T.Pdf
Assessing the long-term attractiveness of mining a commodity based on the structure of its industry by Tanguy Marion B.S. Advanced Sciences, L’Ecole Polytechnique, 2016 MSc. Economics and Strategy, L’Ecole Polytechnique, 2017 Submitted to the Institute for Data, Systems and Society in partial FulFillment of the requirements for the degree oF MASTER OF SCIENCE IN TECHNOLOGY AND POLICY AT THE MASSACHUSETTS INSTITUTE OF TECHNOLOGY JUNE 2019 ©2019 Massachusetts Institute oF Technology. All rights reserved. Signature of Author: Tanguy Marion Institute for Data, Systems and Society Technology and Policy Program May 9, 2019 Certified by: Richard Roth Director, Materials Systems’ Laboratory Research Associate, Materials Systems’ Laboratory Thesis Supervisor Accepted by: Noelle Eckley Sellin Director, Technology and Policy Program Associate Professor, Institute for Data, Systems and Society and Department of Earth, Atmospheric and Planetary Sciences 1 2 Assessing the long-term attractiveness of mining a commodity based on the structure of its industry By Tanguy Marion Submitted to the Institute For Data, Systems and Society in partial FulFillment of the requirements For the degree of Masters of Science in Technology and Policy Abstract. Throughout this thesis, we sought to determine which forces drive commodity attractiveness, and how a general Framework could assess the attractiveness oF mining commodities. Attractiveness can be deFined From multiple perspectives (investor, company, policy-maker, mine workers, etc.), which lead to varying measures oF attractiveness. The scope oF this thesis is limited to assessing attractiveness From an investor’s perspectives, wherein the key perFormance indicators (KPIs) For success are risk and return on investments (ROI). To this end, we have studied the structure oF a mining industry with two concurrent approaches. -
IB Economics HL Study Guide
S T U D Y G UID E HL www.ib.academy IB Academy Economics Study Guide Available on learn.ib.academy Author: Joule Painter Contributing Authors: William van Leeuwenkamp, Lotte Muller, Carlijn Straathof Design Typesetting Special thanks: Andjela Triˇckovi´c This work may be shared digitally and in printed form, but it may not be changed and then redistributed in any form. Copyright © 2018, IB Academy Version: EcoHL.1.2.181211 This work is published under the Creative Commons BY-NC-ND 4.0 International License. To view a copy of this license, visit creativecommons.org/licenses/by-nc-nd/4.0 This work may not used for commercial purposes other than by IB Academy, or parties directly licenced by IB Academy. If you acquired this guide by paying for it, or if you have received this guide as part of a paid service or product, directly or indirectly, we kindly ask that you contact us immediately. Laan van Puntenburg 2a ib.academy 3511ER, Utrecht [email protected] The Netherlands +31 (0) 30 4300 430 TABLE OF CONTENTS Introduction 5 1. Microeconomics 7 – Demand and supply – Externalities – Government intervention – The theory of the firm – Market structures – Price discrimination 2. Macroeconomics 51 – Overall economic activity – Aggregate demand and aggregate supply – Macroeconomic objectives – Government Intervention 3. International Economics 77 – Trade – Exchange rates – The balance of payments – Terms of trade 4. Development Economics 93 – Economic development – Measuring development – Contributions and barriers to development – Evaluation of development policies 5. Definitions 105 – Microeconomics – Macroeconomics – International Economics – Development Economics 6. Abbreviations 125 7. Essay guide 129 – Time Management – Understanding the question – Essay writing style – Worked example 3 TABLE OF CONTENTS 4 INTRODUCTION The foundations of economics Before we start this course, we must first look at the foundations of economics. -
Profit Maximization
PROFIT MAXIMIZATION [See Chap 11] 1 Profit Maximization • A profit-maximizing firm chooses both its inputs and its outputs with the goal of achieving maximum economic profits 2 Model • Firm has inputs (z 1,z 2). Prices (r 1,r 2). – Price taker on input market. • Firm has output q=f(z 1,z 2). Price p. – Price taker in output market. • Firm’s problem: – Choose output q and inputs (z 1,z 2) to maximise profits. Where: π = pq - r1z1 – r2z2 3 1 One-Step Solution • Choose (z 1,z 2) to maximise π = pf(z 1,z 2) - r1z1 – r2z2 • This is unconstrained maximization problem. • FOCs are ∂ ( , ) ∂ ( , ) f z1 z2 = f z1 z2 = p r1 and p r2 z1 z2 • Together these yield optimal inputs zi*(p,r 1,r 2). • Output is q*(p,r 1,r 2) = f(z 1*, z2*). This is usually called the supply function. π • Profit is (p,r1,r 2) = pq* - r1z1* - r2z2* 4 1/3 1/3 Example: f(z 1,z 2)=z 1 z2 π 1/3 1/3 • Profit is = pz 1 z2 - r1z1 – r2z2 • FOCs are 1 1 pz − 3/2 z 3/1 = r and pz 3/1 z − 3/2 = r 3 1 2 1 3 1 2 2 • Solving these two eqns, optimal inputs are 3 3 * = 1 p * = 1 p z1 ( p,r1,r2 ) 2 and z2 ( p,r1, r2 ) 2 27 r1 r2 27 1rr 2 • Optimal output 2 * = * 3/1 * 3/1 = 1 p q ( p, r1,r2 ) (z1 ) (z2 ) 9 1rr 2 • Profits 3 π * = * − * − * = 1 p ( p, r1,r2 ) pq 1zr 1 r2 z2 27 1rr 2 5 Two-Step Solution Step 1: Find cheapest way to obtain output q.