A unified framework of demographic time

A unified framework of demographic time Demographic thought and practice is largely conditioned by the Lexis diagram, a two-dimensional graphical representation of the identity between age, period, and birth cohort. This relationship does not account for remaining years of life, total length of life, or time of death, whose use in demographic research is both underrepresented and incompletely situated. We describe an identity between these six demographic time measures and describe the sub-identities and diagrams that pertain to this identity. We provide an application of this framework to the measurement of late-life morbidity prevalence. We generalize these relationships to higher order identities derived from an arbitrary number of events in calendar time. Our examples are based on classic human demography, but the concepts we present can reveal patterns and relationships in any event history data, and contribute to the study of human or non-human population dynamics measured on any scale of calendar time. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Genus Springer Journals

A unified framework of demographic time

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Publisher
Springer International Publishing
Copyright
Copyright © 2017 by The Author(s)
Subject
Social Sciences; Demography; Population Economics; Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law
eISSN
2035-5556
D.O.I.
10.1186/s41118-017-0024-4
Publisher site
See Article on Publisher Site

Abstract

Demographic thought and practice is largely conditioned by the Lexis diagram, a two-dimensional graphical representation of the identity between age, period, and birth cohort. This relationship does not account for remaining years of life, total length of life, or time of death, whose use in demographic research is both underrepresented and incompletely situated. We describe an identity between these six demographic time measures and describe the sub-identities and diagrams that pertain to this identity. We provide an application of this framework to the measurement of late-life morbidity prevalence. We generalize these relationships to higher order identities derived from an arbitrary number of events in calendar time. Our examples are based on classic human demography, but the concepts we present can reveal patterns and relationships in any event history data, and contribute to the study of human or non-human population dynamics measured on any scale of calendar time.

Journal

GenusSpringer Journals

Published: Aug 22, 2017

References

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