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Female wage profiles: An additive mixed model approach to employment breaks due to childcare

机译:女性工资概况:一种添加剂混合模式方法,用于因育儿而导致的就业中断

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摘要

The paper investigates female wage profiles in West-Germany between 1984 and 2008 using data from the German Socio Economic Panel. The empirical study focuses on the short-run wageloss due to childcare and the long-run wage-profile in post-birth employment, respectivly. This is compared with wage profiles from females who are not mothers. As statistical analysis tool Additive Mixed Models are employed and estimated seperatetly for different levels of educational achievements. The models are dynamic in that main covariate effects are allowed to vary smoothly with working experience. The intention of the paper is to demonstrate with state of the art statistical models how wages are affected by labour market experience, employment interruptions and other covariates. The educational level of the mother and the time off the job influence the amount of wageloss and the wage profile afterwards. Labour market experience, as one major determinant of human capital, influences wages heavily and follows a dynamic patter.
机译:本文使用德国社会经济专家小组的数据,调查了1984年至2008年之间西德女性的工资状况。实证研究分别着重于儿童保育造成的短期工资损失以及出生后就业的长期工资状况。将其与非母亲女性的工资状况进行比较。作为统计分析工具,针对不同水平的教育成就,分别采用了加性混合模型并对其进行了估计。这些模型是动态的,因为主要协变量效应可以随着工作经验而平滑变化。本文的目的是通过最先进的统计模型来证明工资如何受到劳动力市场经验,就业中断和其他协变量的影响。母亲的学历和下班时间会影响随后的工资损失和工资状况。劳动力市场经验,作为人力资本的主要决定因素,在很大程度上影响着工资水平,并遵循着动态的格局。

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