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

Area of Science:

• Labor Economics
• Econometrics
• Sociology

Background:

• Labor markets exhibit competition within and between worker groups, often segmented by unobservable factors.
• Persistent wage inequality is a significant challenge in understanding labor market dynamics.
• Limited data availability often hinders the accurate measurement of labor market competition.

Purpose of the Study:

• To propose a novel measure for quantifying labor market competition intensity.
• To develop a robust microfoundation for persistent wage inequality patterns.
• To analyze labor market competition between native-born and foreign-born workers in the US.

Main Methods:

• Utilizing the maximum entropy principle for inferring unobserved worker mobility decisions.
• Employing the quantal response statistical equilibrium (QRSE) class of models.
• Applying the methodology to US household data for empirical validation.

Main Results:

• The proposed measure effectively quantifies labor market competition intensity with limited data.
• QRSE models provide robust microfoundations for observed wage inequality.
• The application demonstrated that these models capture significant information from wage distributions.

Conclusions:

• The developed methodology offers a powerful tool for analyzing labor market competition.
• Understanding competition dynamics is crucial for addressing wage inequality.
• The findings have implications for labor market policy and worker mobility studies.