The difference between alternative averages

dc.contributor.author

Vaupel, JW

dc.contributor.author

Zhang, Z

dc.date.accessioned

2017-06-02T18:51:36Z

dc.date.available

2017-06-02T18:51:36Z

dc.date.issued

2012-12-06

dc.description.abstract

Background: Demographers have long been interested in how compositional change, e.g., change in age structure, affects population averages. Objective: We want to deepen understanding of how compositional change affects population averages. Results: The difference between two averages of a variable, calculated using alternative weighting functions, equals the covariance between the variable and the ratio of the weighting functions, divided by the average of the ratio. We compare weighted and unweighted averages and also provide examples of use of the relationship in analyses of fertility and mortality. Comments: Other uses of covariances in formal demography are worth exploring. © 2012 James W. Vaupel & Zhen Zhang.

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1435-9871

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https://hdl.handle.net/10161/14768

dc.publisher

Max Planck Institute for Demographic Research

dc.relation.ispartof

Demographic Research

dc.relation.isversionof

10.4054/DemRes.2012.27.15

dc.title

The difference between alternative averages

dc.type

Journal article

pubs.begin-page

419

pubs.end-page

428

pubs.organisational-group

Center for Population Health & Aging

pubs.organisational-group

Duke

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Duke Population Research Institute

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Sanford School of Public Policy

pubs.publication-status

Published

pubs.volume

27

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