Open AccessA parametric model for estimating nuptiality patterns in modern populations
Author(s) -
Anastasia Kostaki,
Paraskevi Peristera
Publication year - 2015
Publication title -
canadian studies in population
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.157
H-Index - 8
eISSN - 1927-629X
pISSN - 0380-1489
DOI - 10.25336/p6tk56
Subject(s) - parametric statistics , parametric model , econometrics , variety (cybernetics) , population , fertility , distribution (mathematics) , computer science , statistics , mathematics , demography , sociology , mathematical analysis
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.