Full Citation

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

Citation Type: Journal Article

Publication Year: 2020

ISBN:

ISSN:

DOI: 10.3390/e22070742

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Abstract: 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.

Url: https://doi.org/10.3390/e22070742

User Submitted?: No

Authors: Wiener, Noé M.

Periodical (Full): Entropy

Issue: 7

Volume: 22

Pages:

Data Collections: IPUMS USA

Topics: Labor Force and Occupational Structure, Migration and Immigration

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