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

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 in...

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Autor principal: Wiener, Noé M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517285/
https://www.ncbi.nlm.nih.gov/pubmed/33286514
http://dx.doi.org/10.3390/e22070742
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author Wiener, Noé M.
author_facet Wiener, Noé M.
author_sort Wiener, Noé M.
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description 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.
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spelling pubmed-75172852020-11-09 Labor Market Segmentation and Immigrant Competition: A Quantal Response Statistical Equilibrium Analysis Wiener, Noé M. Entropy (Basel) Article 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. MDPI 2020-07-05 /pmc/articles/PMC7517285/ /pubmed/33286514 http://dx.doi.org/10.3390/e22070742 Text en © 2020 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wiener, Noé M.
Labor Market Segmentation and Immigrant Competition: A Quantal Response Statistical Equilibrium Analysis
title Labor Market Segmentation and Immigrant Competition: A Quantal Response Statistical Equilibrium Analysis
title_full Labor Market Segmentation and Immigrant Competition: A Quantal Response Statistical Equilibrium Analysis
title_fullStr Labor Market Segmentation and Immigrant Competition: A Quantal Response Statistical Equilibrium Analysis
title_full_unstemmed Labor Market Segmentation and Immigrant Competition: A Quantal Response Statistical Equilibrium Analysis
title_short Labor Market Segmentation and Immigrant Competition: A Quantal Response Statistical Equilibrium Analysis
title_sort labor market segmentation and immigrant competition: a quantal response statistical equilibrium analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517285/
https://www.ncbi.nlm.nih.gov/pubmed/33286514
http://dx.doi.org/10.3390/e22070742
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