On Regression Standardization for Moments

Clifford C. Clogg and Scott R. Eliason
Additional contact information
Clifford C. Clogg: Pennsylvania State University
Scott R. Eliason: Pennsylvania State University

Sociological Methods & Research, 1986, vol. 14, issue 4, 423-446

Abstract: Polynomial regression models can be used to standardize means of endogenous variables for moments of exogenous variables. In other words, standardized means obtained from polynomial models adjust for group differences in location and shape parameters that characterize distributions of exogenous variables. The suggested approach is a natural extension of the conventional method of regression standardization for means (or first moments) of exogenous variables, and it is a more direct analogue to standardization methods used in demography. We also give simple methods that can be used to test the significance of various components of a difference between two means.

Date: 1986
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/0049124186014004004 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:somere:v:14:y:1986:i:4:p:423-446

DOI: 10.1177/0049124186014004004

Access Statistics for this article

More articles in Sociological Methods & Research
Bibliographic data for series maintained by SAGE Publications ().