Job search intensity and wage rigidity in business cycles

IF 1.3 3区 经济学 Q3 ECONOMICS Journal of Macroeconomics Pub Date : 2024-08-13 DOI:10.1016/j.jmacro.2024.103624
Yuki Uemura
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Abstract

Search intensity, as well as the aggregate economic condition, is a crucial factor that determines unemployed workers’ success in job searches. Their search intensity is predicted to be procyclical in standard search and matching models. However, many empirical studies show that search intensity is countercyclical. This study examines the job search behavior of unemployed workers over business cycles using a search and matching model that incorporates wage rigidity and a generalized matching function. Unlike previous studies, the proposed model can generate both procyclical and countercyclical search intensities by introducing wage rigidity. This study calibrates the model to the U.S. economy and provides various impulse response analyses. The numerical exercises show that the model successfully and simultaneously reproduces countercyclical search efforts and sizable labor market fluctuations.

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商业周期中的求职强度和工资刚性
搜索强度以及总体经济状况是决定失业工人能否成功求职的关键因素。根据标准搜索和匹配模型的预测,他们的搜索强度是顺周期的。然而,许多实证研究表明,搜索强度是反周期的。本研究使用一个包含工资刚性和广义匹配函数的搜索与匹配模型,研究了失业工人在商业周期中的求职行为。与以往研究不同的是,通过引入工资刚性,所提出的模型既能产生顺周期的搜索强度,也能产生反周期的搜索强度。本研究根据美国经济对模型进行了校准,并提供了各种脉冲响应分析。数值分析表明,该模型成功地同时再现了反周期的搜索强度和劳动力市场的大幅波动。
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来源期刊
CiteScore
2.50
自引率
7.10%
发文量
53
审稿时长
76 days
期刊介绍: Since its inception in 1979, the Journal of Macroeconomics has published theoretical and empirical articles that span the entire range of macroeconomics and monetary economics. More specifically, the editors encourage the submission of high quality papers that are concerned with the theoretical or empirical aspects of the following broadly defined topics: economic growth, economic fluctuations, the effects of monetary and fiscal policy, the political aspects of macroeconomics, exchange rate determination and other elements of open economy macroeconomics, the macroeconomics of income inequality, and macroeconomic forecasting.
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