Skip to main content Accessibility help
×
Hostname: page-component-77c89778f8-n9wrp Total loading time: 0 Render date: 2024-07-17T18:31:36.085Z Has data issue: false hasContentIssue false

Chapter 4 - Demand estimation

Published online by Cambridge University Press:  05 June 2012

Nick Wilkinson
Affiliation:
Richmond: The American International University in London
Get access

Summary

Objectives

  1. To explain the meaning of demand estimation.

  2. To examine different methods of demand estimation.

  3. To explain the nature of empirical studies.

  4. To illustrate the principles in drawing graphs of empirical data.

  5. To explain the OLS regression model.

  6. To explain and interpret measures of goodness of fit.

  7. To explain different mathematical forms of the regression model.

  8. To describe forecasting methods.

  9. To explain the multiple regression model and its advantages compared to simple regression.

  10. To examine the implications of empirical studies in terms of economic theory.

  11. To enable students to perform empirical studies and test economic theories.

  12. To explain a problem-solving approach that enables students to use empirical studies as an aid to managerial decision-making.

Introduction

In the previous chapter it was generally assumed that the demand function for a firm or market was known; in practice it has to be estimated from empirical data, and that is the subject of this chapter. When we speak of estimation there are a number of stages involved in this process. Some of these stages may be omitted in the simpler methods of estimation, like the first two described in the next section.

Type
Chapter
Information
Managerial Economics
A Problem-Solving Approach
, pp. 122 - 172
Publisher: Cambridge University Press
Print publication year: 2005

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

  • Demand estimation
  • Nick Wilkinson, Richmond: The American International University in London
  • Book: Managerial Economics
  • Online publication: 05 June 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9780511810534.008
Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

  • Demand estimation
  • Nick Wilkinson, Richmond: The American International University in London
  • Book: Managerial Economics
  • Online publication: 05 June 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9780511810534.008
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Demand estimation
  • Nick Wilkinson, Richmond: The American International University in London
  • Book: Managerial Economics
  • Online publication: 05 June 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9780511810534.008
Available formats
×