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Age, period, and cohort effects on maternal mortality

A linear logit model

Bibliographic Data

ID5958007
AuthorsEdward Jow‐ching Tu (New York State Department of Health, corresponding author), Jane‐lan Christy Chuang (University of Rochester)
Year1983
Volume30
Issue4
Pages400-412
Publication date1983-12-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueBiodemography and Social Biology (JOURNAL)
Journal identifiersISSN: 1948-5565 • E-ISSN: 1948-5573
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/19485565.1983.9988553
PMID6681334
OpenAlexW2036425040
LanguageEN
References cited17

Cohort approach is used to disentangle age, period, and cohort effects on maternal mortality in New York State. By comparing various age * period * cohort linear logit models on the logits of maternal mortality rates, we conclude that period and age effects are the dominant influences on maternal mortality, and cohort effect does not contribute as much as we expect after adjustment for age and period. The implications are that, as a set, changes in those temporal variables which cut across cohorts appear to be more important than changes in those variables which distinguish them

Cohort · Cohort effect · Econometrics · Economics · Logistic regression · Logit · Population · Sociology · Statistics · Demography · Global Health Care Issues · Mathematics · Medicine

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Citation velocityhistorical
Highly citedNo

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