目录

  • 1 Introduction
    • 1.1 Managerial Decision Making
    • 1.2 Economic Models
  • 2 Supply and Demand
    • 2.1 Demand
    • 2.2 Supply
    • 2.3 Market Equilibrium
    • 2.4 Shocks to the Equilibrium
    • 2.5 Effects of Government Interventions
    • 2.6 When to Use the Supply-and-Demand Model
  • 3 Empirical Methods for Demand Analysis
    • 3.1 Elasticity
    • 3.2 Regression Analysis
    • 3.3 Properties and Statistical Significance of Estimated Coefficients
    • 3.4 Regression Specification
    • 3.5 Forecasting
  • 4 Consumer Choice
    • 4.1 Consumer Preferences
    • 4.2 Utility
    • 4.3 The Budget Constraint
    • 4.4 Constrained Consumer Choice
    • 4.5 Deriving Demand Curves
    • 4.6 Behavioral Economics
  • 5 Production
    • 5.1 Production Functions
    • 5.2 Short-Run Production
    • 5.3 Long-Run Production
    • 5.4 Returns to Scale
    • 5.5 Productivity and Technological Change
  • 6 Costs
    • 6.1 The Nature of Costs
    • 6.2 Short-Run Costs
    • 6.3 Long-Run Costs
    • 6.4 The Learning Curve
    • 6.5 The Costs of Producing Multiple Goods
  • 7 Firm Organization and Market Structure
    • 7.1 Ownership and Governance of Firms
    • 7.2 Profit Maximization
    • 7.3 Owners’ Versus Managers’ Objectives
    • 7.4 The Make or Buy Decision
    • 7.5 Market Structure
  • 8 Competitive Firms and Markets
    • 8.1 Perfect Competition
    • 8.2 Competition in the Short Run
    • 8.3 Competition in the Long Run
    • 8.4 Competition Maximizes Economic Well-Being
  • 9 Monopoly
    • 9.1 Monopoly Profit Maximization
    • 9.2 Market Power
    • 9.3 Market Failure Due to Monopoly Pricing
    • 9.4 Causes of Monopoly
    • 9.5 Advertising
    • 9.6 Networks, Dynamics, and Behavioral Economics
  • 10 Pricing with Market Power
    • 10.1 Conditions for Price Discrimination
    • 10.2 Perfect Price Discrimination
    • 10.3 Group Price Discrimination
    • 10.4 Nonlinear Price Discrimination
    • 10.5 Two-Part Pricing
    • 10.6 Bundling
    • 10.7 Peak-Load Pricing
  • 11 Oligopoly and Monopolistic Competition
    • 11.1 Cartels
    • 11.2 Cournot Oligopoly
    • 11.3 Bertrand Oligopoly
    • 11.4 Monopolistic Competition
  • 12 Game Theory and Business Strategy
    • 12.1 Oligopoly Games
    • 12.2 Types of Nash Equilibria
    • 12.3 Information and Rationality
    • 12.4 Bargaining
    • 12.5 Auctions
  • 13 Strategies over Time
    • 13.1 Repeated Games
    • 13.2 Sequential Games
    • 13.3 Deterring Entry
    • 13.4 Cost Strategies
    • 13.5 Disadvantages of Moving First
    • 13.6 Behavioral Game Theory
  • 14 Managerial Decision Making Under Certainty
    • 14.1 Assessing Risk
    • 14.2 Attitudes Toward Risk
    • 14.3 Reducing Risk
    • 14.4 Investing Under Uncertainty
    • 14.5 Behavioral Economics and Uncertainty
  • 15 Asymmetric Information
    • 15.1 Adverse Selection
    • 15.2 Reducing Adverse Selection
    • 15.3 Moral Hazard
    • 15.4 Using Contracts to Reduce Moral Hazard
    • 15.5 Using Monitoring to Reduce Moral Hazard
  • 16 Government and Business
    • 16.1 Market Failure and Government Policy
    • 16.2 Regulation of Imperfectly Competitive Markets
    • 16.3 Antitrust Law and Competition Policy
    • 16.4 Externalities
    • 16.5 Open-Access, Club, and Public Goods
    • 16.6 Intellectual Property
  • 17 Global Business
    • 17.1 Reasons for International Trade
    • 17.2 Exchange Rates
    • 17.3 International Trade Policies
    • 17.4 Multinational Enterprises
    • 17.5 Outsourcing
Regression Analysis

Regression Analysis: Beginning the presentation of linear regression with an example, either the one from the text or an alternative, will be very helpful in showing students the mechanics of the regression calculation.  Be careful not to present the Excel approach as a black box since the ability to interpret the coefficients is heavily dependent on understanding what the software is doing behind the scenes.  To help with understanding R2 it is often useful to use Excel during class to calculate a series of regressions where one data point at a time is adjusted.  The Excel sheet can even be set up to show the data, a plot of the points, and the estimated equation simultaneously.