匹配函数与非线性经济周期

IF 1.2 3区 经济学 Q3 BUSINESS, FINANCE
JOSHUA BERNSTEIN, ALEXANDER W. RICHTER, NATHANIEL A. THROCKMORTON
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引用次数: 0

摘要

柯布-道格拉斯匹配函数在劳动力搜索和匹配模型中无处不在,尽管它施加了一个不太可能在经验上成立的常数匹配弹性。为了检验这种差异的含义,本文使用一般的常数回报规模匹配函数来推导条件,这些条件显示匹配弹性的周期性如何影响作为生产率函数的求职率的形状,并放大或抑制非线性劳动力市场动态。然后表明匹配弹性的适度变化,与最近的估计一致,显着影响高阶矩和最优策略。这激发了能够提供更清晰的匹配功能规范的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Matching Function and Nonlinear Business Cycles
The Cobb-Douglas matching function is ubiquitous in labor search and matching models, even though it imposes a constant matching elasticity that is unlikely to hold empirically. To examine the implications of this discrepancy, this paper uses a general constant returns to scale matching function to derive conditions that show how the cyclicality of the matching elasticity affects the shape of the job finding rate as a function of productivity and amplifies or dampens nonlinear labor market dynamics. It then shows that modest variation in the matching elasticity, consistent with recent estimates, significantly affects higher order moments and optimal policy. This motivates research that can provide greater clarity on the matching function specification.
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来源期刊
CiteScore
2.90
自引率
6.70%
发文量
98
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