Jump to ContentJump to Main Navigation
Introductory EconometricsIntuition, Proof, and Practice$
Users without a subscription are not able to see the full content.

Jeffrey Zax

Print publication date: 2011

Print ISBN-13: 9780804772624

Published to Stanford Scholarship Online: June 2013

DOI: 10.11126/stanford/9780804772624.001.0001

Show Summary Details
Page of

PRINTED FROM STANFORD SCHOLARSHIP ONLINE (www.stanford.universitypressscholarship.com). (c) Copyright Stanford University Press, 2019. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in SSO for personal use.date: 14 October 2019

From Sample to Population

From Sample to Population

Chapter:
(p.136) Chapter 5 From Sample to Population
Source:
Introductory Econometrics
Publisher:
Stanford University Press
DOI:10.11126/stanford/9780804772624.003.0005

This chapter discusses the reasons why we can generalize from what we observe in one sample to what we might expect in others. It defines the population, distinguishes between parameters and estimators, and discusses why we work with samples when populations are what we are interested in. It demonstrates that, with the appropriate assumptions about the structure of the population, a and b, as calculated in Chapter 4, are best linear unbiased (BLU) estimators of the corresponding parameters in the population relationship. Under these population assumptions, regression is frequently known as ordinary least squares (OLS) regression.

Keywords:   regression analysis, ordinary least squares regression, population relationship, parameters, estimators

Stanford Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.

Please, subscribe or login to access full text content.

If you think you should have access to this title, please contact your librarian.

To troubleshoot, please check our FAQs , and if you can't find the answer there, please contact us.