9780130135384

Managerial Economics: Economic Tools for Today's Decision Makers

by ;
  • ISBN13:

    9780130135384

  • ISBN10:

    0130135380

  • Edition: 3rd
  • Format: Hardcover
  • Copyright: 12/1/1999
  • Publisher: Prentice Hall
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Summary

For undergraduate courses in Managerial Economics and first-year MBA students in departments of Economics and Finance. This distinctive text features a running case study at the beginning and end of each chapter that explores the decision-making processes of managers within a hypothetical company. It creates a vivid, dynamic business setting highlights microeconomic theory and the tools of quantitative analysis used in management decision-making. In addition, actual business examples from the popular pressincluding numerous international examplesare incorporated into the chapters to reinforce the connection between economic and real business situations.

Table of Contents

Introduction
1(21)
The Firm and Its Goals
22(46)
Review of Mathematical Concepts Used in Managerial Economics
42(26)
Supply and Demand
68(35)
The Mathematics of Supply and Demand
99(4)
Demand Elasticity
103(48)
Applications of Supply and Demand
133(18)
Demand Estimation
151(50)
Forecasting
201(41)
Forecasting and the Computer
240(2)
The Theory and Estimation of Production
242(59)
The Multiple-Input Case
283(13)
Expressing the Production Function with the Use of Calculus
296(5)
The Theory and Estimation of Cost
301(54)
A Mathematical Restatement of the Short-Run Cost Function
339(1)
The Estimation of Cost
340(15)
Pricing and Output Decisions: Perfect Competition and Monopoly
355(35)
The Use of Calculus in Pricing and Output Decisions
387(3)
Pricing and Output Decisions: Monopolistic Competition and Oligopoly
390(27)
Break-Even Analysis (Volume-Cost-Profit)
417(18)
Special Pricing Practices
435(38)
Capital Budgeting
473(42)
Calculations for Time Value of Money
507(8)
Risk and Uncertainty
515(35)
Government and Industry: Challenges and Opportunities for Today's Manager
550(20)
Managerial Economics in Action: The Case of the Semiconductor Industry
570(22)
Appendix A: Linear Programming 592(13)
Appendix B: Statistical and Financial Tables 605(15)
Appendix C: Solutions to Odd-Numbered Problems 620(7)
Index 627

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