Brass' relational model: A statistical analysis

Quincy Thomas Stewart

doi:10.1080/08898480490422329

Brass' relational model: A statistical analysis

Quincy Thomas Stewart^*

^*Corresponding author for this work

Sociology

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

Brass' relational model is based on a linear relationship between the logits of the cumulative probability of dying before age x in a standard mortality distribution and those observed in any population. In this study the appropriate way to estimate the linear parameters associated with Brass' model is clarified. Five methods are presented to estimate the coefficients associated with Brass' relational model. Each method is applied to simulated data to examine the efficiencies of each model in mortality estimation.

Original language	English (US)
Pages (from-to)	51-72
Number of pages	22
Journal	Mathematical Population Studies
Volume	11
Issue number	1
DOIs	https://doi.org/10.1080/08898480490422329
State	Published - Jan 2004

Funding

1This work won a Blue Ribbon Award at the 2001 Population Association of America Meetings in Washington, DC. Funding for this research was partially provided by NIMH 1R01MH58009-01. I would like to thank Jason Cummings, Douglas Ewbank, Kenneth Hill, David James, Douglas Massey, Samuel Preston, Tukufu Zuberi, and two anonymous reviewers for comments on earlier drafts. Direct correspondence to: Quincy Thomas Stewart, Indiana University, Department of Sociology, Ballantine Hall 744, 1020 East Kirkwood Avenue, Bloomington, Indiana 47405-7103 or E-mail: [email protected].

ASJC Scopus subject areas

Demography
Geography, Planning and Development
General Agricultural and Biological Sciences

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1080/08898480490422329

Cite this

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Brass' relational model: A statistical analysis

Abstract

Funding

ASJC Scopus subject areas

UN SDGs

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