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Open AccessArticle

Labor Market Segmentation and Immigrant Competition: A Quantal Response Statistical Equilibrium Analysis

Department of Economics, University of Massachusets, Amherst, MA 01002, USA
Entropy 2020, 22(7), 742; https://doi.org/10.3390/e22070742
Received: 30 May 2020 / Revised: 24 June 2020 / Accepted: 3 July 2020 / Published: 5 July 2020
(This article belongs to the Special Issue Information Theory for Human and Social Processes)
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. View Full-Text
Keywords: labor market competition; wage inequality; statistical equilibrium; immigration labor market competition; wage inequality; statistical equilibrium; immigration
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Wiener, N.M. Labor Market Segmentation and Immigrant Competition: A Quantal Response Statistical Equilibrium Analysis. Entropy 2020, 22, 742.

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