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首页> 外文期刊>Journal of applied statistics >Competing risks quantile regression at work: in-depth exploration of the role of public child support for the duration of maternity leave
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Competing risks quantile regression at work: in-depth exploration of the role of public child support for the duration of maternity leave

机译：工作中的竞争风险分位数回归：深入探讨公共儿童抚养在产假期间的作用

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摘要

Despite its emergence as a frequently used method for the empirical analysis of multivariate data, quantile regression is yet to become a mainstream tool for the analysis of duration data. We present a pioneering empirical study on the grounds of a competing risks quantile regression model. We use large-scale maternity duration data with multiple competing risks derived from German linked social security records to analyse how public policies are related to the length of economic inactivity of young mothers after giving birth. Our results show that the model delivers detailed insights into the distribution of transitions out of maternity leave. It is found that cumulative incidences implied by the quantile regression model differ from those implied by a proportional hazards model. To foster the use of the model, we make an R-package (cmprskQR) available.
机译：尽管分位数回归已经成为多变量数据经验分析的一种常用方法，但分位数回归尚未成为分析工期数据的主流工具。我们基于竞争风险分位数回归模型提出了开创性的实证研究。我们使用大规模的产妇持续时间数据以及源自德国链接的社会保障记录的多重竞争风险，来分析公共政策与分娩后年轻母亲的经济不活跃时间长度之间的关系。我们的结果表明，该模型为产假后过渡的分布提供了详细的见解。发现分位数回归模型隐含的累积发生率与比例风险模型隐含的累积发生率不同。为了促进模型的使用，我们提供了R包（cmprskQR）。

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