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风险匹配

Risky Matching
Review of Economic Studies · 2021 · Héctor Chade、Ilse Lindenlaub

中文摘要

我们构建了一个模型,其中风险规避型工人可以在与异质性企业匹配前对其技能进行有成本的投资。在投资阶段,工人面临多种风险来源:他们不确定自身最终将达到的技能水平,也不确定在就业时其收入冲击的实现情况。我们分析了该模型两个版本的均衡,这两个版本取决于不确定性何时解决,而这决定了工人与企业之间可用的风险分担可能性。我们提供了关于风险、工人与企业异质性以及技术变化的均衡比较静态的详尽分析。我们推导了匹配产出函数与风险态度的条件,在这些条件下这些变动会导致更多的投资,并展示了这将如何影响匹配与工资。为了说明我们理论的应用相关性,我们提供了模型的程式化定量评估,并分析了美国工资不平等上升的来源(风险、异质性或技术)。我们发现,风险变化是不平等飙升背后最重要的驱动因素,其次是技术变化。我们表明,如果忽略我们模型的关键特征——即教育投资是内生的——这些结论将发生显著改变。

Abstract

Abstract We develop a model where risk-averse workers can costly invest in their skills before matching with heterogenous firms. At the investment stage, workers face multiple sources of risk. They are uncertain about how skilled they will turn out and also about their income shock realizations at the time of employment. We analyse the equilibria of two versions of the model that depend on when uncertainty resolves, which determines the available risk-sharing possibilities between workers and firms. We provide a thorough analysis of equilibrium comparative statics regarding changes in risk, worker and firm heterogeneity, and technology. We derive conditions on the match output function and risk attitudes under which these shifts lead to more investment and show how this affects matching and wages. To illustrate the applied relevance of our theory, we provide a stylized quantitative assessment of the model and analyse the sources (risk, heterogeneity, or technology) of rising U.S. wage inequality. We find that changes in risk were the most important driver behind the surge in inequality, followed by technological change. We show that these conclusions are significantly altered if one neglects the key feature of our model, which is that educational investment is endogenous.
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