Keilman N, Pham D Q
Eur J Popul. 2000 Mar;16(1):41-66. doi: 10.1023/a:1006385413134.
A multivariate ARIMA model is combined with a Gamma curve to predict confidence intervals for age-specific birth rates by 1-year age groups. The method is applied to observed age-specific births in Norway between 1900 and 1995, and predictive intervals are computed for each year up to 2050. The predicted two-thirds confidence intervals for Total Fertility (TF) around 2010 agree well with TF errors in old population forecasts made by Statistics Norway. The method gives useful predictions for age-specific fertility up to the years 2020-30. For later years, the intervals become too wide. Methods that do not take into account estimation errors in the ARIMA model coefficients underestimate the uncertainty for future TF values. The findings suggest that the margin between high and low fertility variants in official population forecasts for many Western countries are too narrow.
将多元自回归积分滑动平均(ARIMA)模型与伽马曲线相结合,以预测按1岁年龄组划分的特定年龄生育率的置信区间。该方法应用于1900年至1995年挪威观察到的特定年龄生育率,并计算了直至2050年每年的预测区间。2010年左右总生育率(TF)的预测三分之二置信区间与挪威统计局在老年人口预测中的TF误差吻合良好。该方法对2020 - 2030年之前的特定年龄生育率给出了有用的预测。对于更晚的年份,区间变得过宽。未考虑ARIMA模型系数估计误差的方法低估了未来TF值的不确定性。研究结果表明,许多西方国家官方人口预测中高生育率变体和低生育率变体之间的差距太窄。