不确定性冲击对劳动力市场动态以及广泛调整边际与密集调整边际影响的异质性

IF 1.9 3区 经济学 Q2 ECONOMICS Journal of Economic Dynamics & Control Pub Date : 2024-04-03 DOI:10.1016/j.jedc.2024.104859
Sangyup Choi , Davide Furceri , Seung Yong Yoo
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引用次数: 0

摘要

实物期权价值理论认为,与企业投入相关的非凸调整成本是理解不确定性增加的后果的核心。本文利用了在行业和国家层面观察到的与招聘和解雇相关的不可逆转性程度的多样性,这是在不确定性增加时产生通常所说的 "观望 "行为的一个关键因素。我们的实证研究结果揭示了两个重要观点。首先,与第二瞬间冲击的概念一致,不确定性冲击主要是通过广泛边际而非密集边际影响劳动力市场。其次,不确定性冲击的影响在不同国家和行业表现出明显的异质性,在就业保护严格的国家或自然裁员率较高的行业,不利的就业影响(广泛边际)会被放大,这与实物期权理论是一致的。
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Heterogeneity in the effects of uncertainty shocks on labor market dynamics and extensive vs. intensive margins of adjustment

The real option value theory posits that non-convex adjustment costs pertaining to a firm's input are central to comprehending the consequences of increased uncertainty. This paper leverages the diversity observed at both sectoral and country levels in the degree of irreversibility associated with hiring and firing, a critical factor generating what is commonly referred to as “wait-and-see” behavior in times of heightened uncertainty. Our empirical findings reveal two key insights. First, in alignment with the concept of second-moment shocks, uncertainty shocks predominantly influence the labor market through the extensive margin rather than the intensive margin. Second, the effects of uncertainty shocks exhibit pronounced heterogeneity across countries and industries, and the adverse employment effects (extensive margin) are amplified in a country with strict employment protection or in an industry characterized by a higher natural layoff rate, consistent with the real option theory.

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来源期刊
CiteScore
3.10
自引率
10.50%
发文量
199
期刊介绍: The journal provides an outlet for publication of research concerning all theoretical and empirical aspects of economic dynamics and control as well as the development and use of computational methods in economics and finance. Contributions regarding computational methods may include, but are not restricted to, artificial intelligence, databases, decision support systems, genetic algorithms, modelling languages, neural networks, numerical algorithms for optimization, control and equilibria, parallel computing and qualitative reasoning.
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