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Spatial mismatch

Spatial mismatch refers to the mismatch between where low-income workers reside and where suitable job opportunities are located, and the hypothesis that this causes worse labor market outcomes.

History & Measurement

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History in the United States

2 related topics

Overview

4 related topics

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Overview

History in the United States

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Map overview Semantic statistics

Spatial mismatch

Nodes9
Edges8
Triples42
Avg. degree1.78
Density0.222222
Components1

How this topic connects Entity context

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Spatial mismatch

Top relations

related to history · 13
Spatial mismatch → After World War, Americans, During, For, His, Housing Segregation, In, Kain, Metropolitan Decentralization, Negro Employment, Since, Spatial Mismatch Hypothesis, The
related to Factors · 6
Spatial mismatch → Four, Harris Selod, In, Laurent Gobillon, The, Yves Zenou
related to South Asia · 6
Spatial mismatch → General, In Islamabad, In Karachi, Pakistan, Sindh, The
related to Latin America · 5
Spatial mismatch → Brazil, Colombia, In Bogota, In Chile, Mexico
related to East Asia · 4
Spatial mismatch → Hong Kong, Results, Studies, United States
related to Spatial mismatch hypothesis outside of the United States · 3
Spatial mismatch → However, Spatial, United States
related to Sub-Saharan Africa · 3
Spatial mismatch → On, The, Zimbabwe
related to Europe · 2
Spatial mismatch → In European Union, While

Important terminology Word statistics

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Important terminology

mismatch spatial job workers hypothesis employment opportunities found jobs housing access united states distance away areas low-income located used factors

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Spatial mismatchrelated to East AsiaStudies0.60section
Spatial mismatchrelated to East AsiaHong Kong0.60section
Spatial mismatchrelated to East AsiaUnited States0.60section
Spatial mismatchrelated to East AsiaResults0.60section
Spatial mismatchrelated to EuropeIn European Union0.60section
Spatial mismatchrelated to EuropeWhile0.60section
Spatial mismatchrelated to FactorsIn0.60section
Spatial mismatchrelated to FactorsLaurent Gobillon0.60section
Spatial mismatchrelated to FactorsHarris Selod0.60section
Spatial mismatchrelated to FactorsYves Zenou0.60section
Spatial mismatchrelated to FactorsFour0.60section
Spatial mismatchrelated to FactorsThe0.60section

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    Min side: 3
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