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Modeling and forecasting sex differences in mortality: a sex-ratio approach

机译:建模和预测死亡率中的性别差异:性别比例方法

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Abstract Female and male life expectancies have converged in most industrialized societies in recent decades. To achieve coherent forecasts between females and males, this convergence needs to be considered when forecasting sex-specific mortality. We introduce a model forecasting a matrix of the age-specific death rates of sex ratio, decomposed into two age profiles and time indices—before and after age 45—using principal component analysis. Our model allows visualization of both age structure and general level over time of sex differences in mortality for these two age groups. Based on a prior forecast for females, we successfully forecast male mortality convergence with female mortality. The usefulness of the developed model is illustrated by its comparison with other coherent and independent models in an out-of-sample forecast evaluation for 18 countries. The results show that the new proposal outperformed the other models for most countries.
机译:摘要近几十年来,在大多数工业化社会中,女性和男性的预期寿命已趋于一致。为了实现男女之间的连贯预测,在预测特定性别死亡率时需要考虑这种趋同。我们引入一种模型,该模型使用主成分分析来预测按性别划分的特定年龄死亡率矩阵,并分解为两个年龄分布和时间指数(45岁之前和之后)。我们的模型可以直观显示这两个年龄组的性别差异随年龄变化的年龄结构和总体水平。基于对女性的先前预测,我们成功地预测了男性死亡率与女性死亡率的趋同。通过在18个国家的样本外预测评估中将其与其他一致且独立的模型进行比较,说明了所开发模型的有用性。结果表明,对于大多数国家而言,新提案的表现均优于其他模型。

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