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Layoff taxes, unemployment insurance, and business cycle fluctuations

机译:裁员税,失业保险和商业周期

摘要

This paper studies the role of labor market institutions in business cycle fluctuations. We develop a DSGE model with search and matching frictions and incorporate a US unemployment insurance experience rating system. Layoff taxes based on experience rating finance the cost of unemployment benefits and create considerable employment adjustment costs. Our framework helps realign the search and matching model with the empirical properties of its most salient variables. The model reproduces the negative correlation between vacancies and unemployment, i.e., the Beveridge curve. Simulations show that the model generates more cyclical volatility in its key variable - the ratio of job vacancies to unemployment (labor market tightness). Moreover, layoff taxes reduce the excess sensitivity of job destruction found in Krause and Lubik (2007) and strengthen the negative correlation of job creation and job destruction. Thus, the model matches key labor market data while incorporating an important feature of the US labor market.
机译:本文研究了劳动力市场制度在商业周期波动中的作用。我们开发了具有搜索和匹配摩擦的DSGE模型,并纳入了美国失业保险经验评估系统。基于经验等级的裁员税为失业救济金的成本提供资金,并产生大量的就业调整成本。我们的框架有助于根据其最显着变量的经验属性重新调整搜索和匹配模型。该模型再现了职位空缺与失业之间的负相关性,即贝弗里奇曲线。模拟表明,该模型的关键变量(职位空缺与失业率(劳动力市场紧张))产生了更大的周期性波动。此外,裁员税降低了Krause和Lubik(2007)发现的工作破坏的过度敏感性,并增强了工作创造与工作破坏的负相关性。因此,该模型与主要劳动力市场数据匹配,同时纳入了美国劳动力市场的重要特征。

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