This study proposes a new decomposition method which permits a difference in an aggregate measure at a final time point to be split into additive components corresponding to the initial differences in the event-rates of the measure and differences in trends in these underlying event-rates. The...

This study examines the variation in mortality and mortality trends among different regions in India since the 1970s using data from the Sample Registration System (SRS). Evaluation of the SRS data quality confirms reliability for children and adults under the age of 60 years. Analysis of...

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Patterns of diversity in age at death are examined using e†, a dispersion measure that also equals the average expected lifetime lost at death. We apply two methods for decomposing differences in e†. The first method estimates the contributions of average levels of mortality and mortality...

Special Collection 2: Determinants of Diverging Trends in Mortality is a set of papers stemming from the first seminar of the Committee on Emerging Health Threats (CEHT) of the International Union for the Scientific Study of Population (IUSSP), "Determinants of Diverging Trends of Mortality"....

This introduction to the special collection “Human Mortality over Age, Time, Sex, and Place: The 1st HMD Symposium†describes the Human Mortality Database project and briefly summarizes the Special Collection articles.

A general algorithm for the decomposition of differences between two values of an aggregate demographic measure in respect to age and other dimensions is proposed. It assumes that the aggregate measure is computed from similar matrices of discrete demographic data for two populations under...

We study inter-individual variability in number of children among women. Concentration ratio (CR) and percentile measures are used. In most countries CR has increasing from cohorts of the 1930s-40s onward due to rise in childlessness. In cohorts of the early 1960s CR varies from 0.24 to 0.46...

Inter-individual diversity of women according to birth numbers (quantum) and birth spacing (tempo) are important for understanding of fertility regimes. Elsewhere, we have shown that diversity with respect to fertility quantum is increasing from older to younger cohorts. The present study looks...