Max Planck Institute for Demographic Research.
Vytautas Magnus University.
Popul Stud (Camb). 2019 Nov;73(3):439-449. doi: 10.1080/00324728.2018.1481992. Epub 2018 Jul 13.
Comparative perspectives on men's fertility are still rare, in part because vital registration data are often missing paternal age information for a substantial number of births. We compare two imputation approaches that attempt to estimate men's age-specific fertility rates and related measures for data in which paternal age information is missing for a non-negligible number of cases. Taking births with paternal age information as a reference, the first approach uses the unconditional paternal age distribution, while the second approach considers the paternal age distribution conditional on the maternal age. To assess the performance of these two methods, we conduct simulations that mimic vital registration data for Sweden, the United States, Spain, and Estonia. In these simulations, we vary the overall proportion and the age selectivity of missing values. We find that the conditional approach outperforms the unconditional approach in the majority of simulations and therefore should be generally preferred.
关于男性生育力的比较观点仍然很少见，部分原因是重要的登记数据通常会缺失大量出生的父亲年龄信息。我们比较了两种试图估计男性特定年龄生育率和相关指标的估算方法，这些方法适用于相当数量的案例中缺失父亲年龄信息的数据。以具有父亲年龄信息的出生为参考，第一种方法使用无条件的父亲年龄分布，而第二种方法则考虑了母亲年龄条件下的父亲年龄分布。为了评估这两种方法的性能，我们进行了模拟，模拟了瑞典、美国、西班牙和爱沙尼亚的人口登记数据。在这些模拟中，我们改变了缺失值的总体比例和年龄选择性。我们发现，有条件的方法在大多数模拟中优于无条件的方法，因此通常应该优先选择。
