Author: Stewart, Quincy

Source: Mathematical Population Studies, Volume 11, Number 1, January–March 2004 , pp. 51-72(22)

Publisher: Routledge, part of the Taylor & Francis Group

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.

Document Type: Research article

DOI: http://dx.doi.org/10.1080/08898480490422329

Affiliations: 1: Department of Sociology, Indiana University, Bloomington, Indiana, USA

Publication date: 2004-01-01

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