The connection between fertility of parents and their children has been
investigated many times over the past century. It seems to be insignificant among
pre-transitional populations, but becomes more important over time, especially in
developed countries. Following Pearson’s example, it was widely adopted to use
simple correlation analyses in such studies. In this study we will present how to
use more advanced statistical models and methods to determine the occurrence and
strength of examined relationships. Thus, we aim to investigate the intergenerational
transmission of fertility in contemporary populations (in the case of the motherdaughter
relation in Austria) using the zero-inflated Poisson regression model. Using
this model in fertility analysis allows us to treat childlessness as a qualitatively
different state with possibly different determinants than parenthood (regardless of the
number of children). Bayesian inference in this study enables us to obtain covariates’
distributions as well as distributions of covariates’ nonlinear functions (including
their uncertainty) and allows us to incorporate our prior knowledge.
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