A parametric model for estimating nuptiality patterns in modern populations
DOI:
https://doi.org/10.25336/P6TK56Keywords:
nuptiality pattern, parametric modelling, mixture modelling, nonlinear estimation, heterogeneityAbstract
Nuptiality is a phenomenon closely related to fertility. The age-specific marriage distribution has a typical shape common in all human populations. In order to estimate this pattern, alternative parametric models have been proposed. However recent evidence suggests that mixture models are required to estimate nuptiality patterns. In this paper, a flexible parametric model is proposed in three versions, appropriate to describe the age pattern of first marriage rates. For evaluation purposes the models as well as the alternative existing models are fitted to a variety of empirical datasets.Downloads
Published
Issue
Section
License
Copyright (c) 2019 Anastasia Kostaki, Paraskevi Peristera
This work is licensed under a Creative Commons Attribution 4.0 International License.
The following copyright statement applies to content published in Volumes 1 - 45 of Canadian Studies in Population.
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).