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Measuring temporary employment. Do survey or register data tell the truth?

机译:衡量临时就业。调查或登记数据能说明事实吗?

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One of the main variables in the Dutch Labour Force Survey is the variable measuring whether a respondent has a permanent or a temporary job. The aim of our study is to determine the measurement error in this variable by matching the information obtained by the longitudinal part of this survey with unique register data from the Dutch Institute for Employee Insurance. Contrary to previous approaches confronting such datasets, we take into account that also register data are not error-free and that measurement error in these data is likely to be correlated over time. More specifically, we propose the estimation of the measurement error in these two sources using an extended hidden Markov model with two observed indicators for the type of contract. Our results indicate that none of the two sources should be considered as error-free. For both indicators, we find that workers in temporary contracts are often misclassified as having a permanent contract. Particularly for the register data, we find that measurement errors are strongly autocorrelated, as, if made, they tend to repeat themselves. In contrast, when the register is correct, the probability of an error at the next time period is almost zero. Finally, we find that temporary contracts are more widespread than the Labour Force Survey suggests, while transition rates between temporary to permanent contracts are much less common than both datasets suggest.
机译:荷兰劳动力调查中的主要变量之一是用于衡量受访者是长期还是临时工作的变量。我们研究的目的是通过将本次调查的纵向部分获得的信息与荷兰雇员保险学会的独特注册数据进行匹配,以确定该变量中的测量误差。与此类数据集面临的先前方法相反,我们考虑到寄存器数据也并非没有错误,并且这些数据中的测量误差很可能随着时间而相关。更具体地说,我们建议使用扩展的隐马尔可夫模型和两个观察到的合约类型指标来估计这两个源中的测量误差。我们的结果表明,这两个来源均不应被视为无差错。对于这两个指标,我们发现临时合同中的工人经常被误认为具有永久合同。特别是对于寄存器数据,我们发现测量误差是高度自相关的,因为如果产生误差,它们往往会自己重复。相反,当寄存器正确时,在下一个时间段出错的可能性几乎为零。最后,我们发现临时合同比劳动力调查所建议的更为广泛,而临时合同到永久合同之间的过渡率却不如两个数据集所建议的普遍。

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