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Engineering

Universal resilience patterns in labor markets

Esteban Moro^1,2,3,4, Morgan R Frank^5,6,7,8, Alex Pentland^5,9,6

¹Departamento de Matemáticas & GISC, Universidad Carlos III de Madrid, Leganés, Spain. emoro@math.uc3m.es.

Nature Communications|March 31, 2021

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Summary

Urban economic resilience is driven by job network connectivity. Higher connectivity leads to lower unemployment, increased wages, and better adaptation to technological change, promoting economic growth.

Area of Science:

Urban economics
Labor market dynamics
Network science

Background:

Cities are economic hubs, but technological shifts risk worker exclusion and hinder middle-class growth.
Urban policy needs to focus on job creation, skill development, and economic resilience.

Purpose of the Study:

To model labor market resilience using a novel job network framework.
To investigate the relationship between job network connectivity and urban economic performance.
To understand the impact of automation on urban labor markets.

Main Methods:

Constructed an ecologically-inspired job network based on occupational skill similarity.
Analyzed the connectivity of job networks in US cities.
Correlated job connectivity with unemployment rates during the Great Recession and wage data.

Main Results:

Urban economic resilience is uniquely determined by job network connectivity.
Cities with higher job connectivity experienced lower unemployment during the Great Recession.
Increased job connectivity correlates with rising wage bills and higher wages for embedded workers.

Conclusions:

Job network connectivity is a key determinant of urban economic resilience.
Policies promoting labor connectivity can foster job growth and economic stability.
Understanding job connectivity is crucial for navigating the impacts of automation on urban economies.

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