Can Incorporating Parity Information Improve the Reliability of Completed Cohort Fertility Projections? Insights From a Bayesian Generalized Additive Model Approach.

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Title: Can Incorporating Parity Information Improve the Reliability of Completed Cohort Fertility Projections? Insights From a Bayesian Generalized Additive Model Approach.
Authors: Ellison J; Department of Social Statistics and Demography, University of Southampton, Southampton, UK., Bijak J; Demographic Sciences Unit and the Leverhulme Centre for Demographic Science, University of Oxford, Oxford, UK., Dodd E; School of Mathematical Sciences, University of Southampton, Southampton, UK.
Source: Demography [Demography] 2026 Apr 01; Vol. 63 (2), pp. 453-481.
Publication Type: Journal Article
Journal Info: Publisher: Duke University Press Country of Publication: United States NLM ID: 0226703 Publication Model: Print Cited Medium: Internet ISSN: 1533-7790 (Electronic) Linking ISSN: 00703370 NLM ISO Abbreviation: Demography Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Ellison+J%22">Ellison J</searchLink>; Department of Social Statistics and Demography, University of Southampton, Southampton, UK.<br /><searchLink fieldCode="AU" term="%22Bijak+J%22">Bijak J</searchLink>; Demographic Sciences Unit and the Leverhulme Centre for Demographic Science, University of Oxford, Oxford, UK.<br /><searchLink fieldCode="AU" term="%22Dodd+E%22">Dodd E</searchLink>; School of Mathematical Sciences, University of Southampton, Southampton, UK.
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        Value: 10.1215/00703370-12530362
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      – TitleFull: Can Incorporating Parity Information Improve the Reliability of Completed Cohort Fertility Projections? Insights From a Bayesian Generalized Additive Model Approach.
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              Text: 2026 Apr 01
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              Y: 2026
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