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Brass' Relational Model: A Statistical Analysis


  • Quincy Thomas Stewart


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.

Suggested Citation

  • Quincy Thomas Stewart, 2004. "Brass' Relational Model: A Statistical Analysis," Mathematical Population Studies, Taylor & Francis Journals, vol. 11(1), pages 51-72.
  • Handle: RePEc:taf:mpopst:v:11:y:2004:i:1:p:51-72
    DOI: 10.1080/08898480490422329

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    Cited by:

    1. Marc Luy, 2012. "Estimating Mortality Differences in Developed Countries From Survey Information on Maternal and Paternal Orphanhood," Demography, Springer;Population Association of America (PAA), vol. 49(2), pages 607-627, May.

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