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Cyclicality of labour market search: a new big data approach

机译:劳动力市场的周期性搜索:一种新的大数据方法

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This paper exploits big data on online activity from the job exchange of the German Federal Employment Agency and its internal placement-software to generate measures for search activity of employers and job seekers and—as a novel feature—for placement activity of employment agencies. In addition, the average search perimeter in the job seekers’ search profiles can be measured. The data are used to estimate the behaviour of the search and placement activities during the business and labour market cycle and their seasonal patterns. The results show that the search activities of firms and employment agencies are procyclical. By contrast, job seekers’ search intensity shows a countercyclical pattern, at least before the COVID-19 crisis.
机译:本文利用了德国联邦雇佣机构的工作交换和内部展示软件的在线活动的大数据,以生成雇主和求职者的搜索活动的措施,以及作为雇佣机构的小说要安置活动。 此外,可以测量求职者搜索文件中的平均搜索周边。 这些数据用于估计业务和劳动力市场周期和季节性模式期间的搜索和放置活动的行为。 结果表明,企业和雇佣机构的搜索活动是诉讼。 相比之下,求职者的搜索强度至少在Covid-19危机之前显示了一个反周期模式。

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