失业保险,召回和经验评级

Julien Albertini, Xavier Fairise, Anthony Terriau
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引用次数: 1

摘要

在美国,近一半的失业期以召回结束。在本文中,我们证明了失业救济金领取者被召回的概率比非失业救济金领取者高得多。我们认为,观察到的召回份额差异的很大一部分是由以经验评级系统为特征的失业保险融资方案的设计造成的。我们建立了一个包含不同失业保险状况、内生离职、召回和新员工的搜索匹配模型。我们量化了在替代融资方案下的劳动力市场。如果没有经验评级,从长远来看,招聘和离职的比例会更高,也会更不稳定。经验评级系统对接受者和非接受者之间的回忆差异有显著影响。
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Unemployment Insurance, Recalls and Experience Rating
In the US, almost half of unemployment spells end through recall. In this paper, we show that the probability of being recalled is much higher among unemployment benefit recipients than nonrecipients. We argue that a large part of the observed difference in recall shares is accounted for by the design of the unemployment insurance financing scheme characterized by an experience rating system. We develop a search and matching model with different unemployment insurance status, endogenous separations, recalls and new hires. We quantify what would have been the labor market under alternative financing scheme. In the absence of the experience rating, the hiring and separations would have been higher in the long run and more volatile. Experience rating system contributes significantly to the difference in recalls between the recipients and the nonrecipients.
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