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Introductory EconometricsIntuition, Proof, and Practice$
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Jeffrey Zax

Print publication date: 2011

Print ISBN-13: 9780804772624

Published to Stanford Scholarship Online: June 2013

DOI: 10.11126/stanford/9780804772624.001.0001

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From Sample to Population

From Sample to Population

(p.136) Chapter 5 From Sample to Population
Introductory Econometrics
Stanford University Press

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

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