Wiener Noé M
Department of Economics, University of Massachusets, Amherst, MA 01002, USA.
Entropy (Basel). 2020 Jul 5;22(7):742. doi: 10.3390/e22070742.
Competition between and within groups of workers takes place in labor markets that are segmented along various, often unobservable dimensions. This paper proposes a measure of the intensity of competition in labor markets on the basis of limited data. The maximum entropy principle is used to make inferences about the unobserved mobility decisions of workers in US household data. The quantal response statistical equilibrium class of models can be seen to give robust microfoundations to the persistent patterns of wage inequality. An application to labor market competition between native and foreign-born workers in the United States shows that this class of models captures a substantial proportion of the informational content of observed wage distributions.
在沿着各种通常不可观测维度进行分割的劳动力市场中,工人群体之间以及群体内部都会发生竞争。本文基于有限的数据提出了一种衡量劳动力市场竞争强度的方法。最大熵原理被用于对美国家庭数据中工人未被观测到的流动决策进行推断。可以看出,量子响应统计均衡类模型为工资不平等的持续模式提供了稳健的微观基础。一项针对美国本土工人和外国出生工人之间劳动力市场竞争的应用表明,这类模型捕捉到了观测到的工资分布中相当一部分的信息内容。