Procedures for estimating standardized regression coefficients from sample data

Lawrence S. Mayer, Mary Sue Younger

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

This paper is concerned with the role played by the standardized regression coefficients in linear regression analysis. The linear regression model is reparameterized to explicitly contain standardized regression coefficients. Several estimators of these coefficients are considered. It is shown that the usual beta coefficient is a good estimator of the coefficients in the linear regression model with random predictor variables. However, in the linear regression model with nonstochastic predictors, alternative estimators are better than the usual beta coefficient. A sociological application is included in order to display the empirical behavior of the various estimators.

Original languageEnglish (US)
Pages (from-to)431-453
Number of pages23
JournalSociological Methods and Research
Volume2
Issue number4
DOIs
StatePublished - 1974
Externally publishedYes

ASJC Scopus subject areas

  • Social Sciences (miscellaneous)
  • Sociology and Political Science

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