🤖 AI Summary
This study examines how social network homophily exacerbates multidimensional inequality—in education, employment, health, income, and wealth—and impedes economic mobility through networked transmission of information, opportunities, and behaviors. Moving beyond conventional individual-capability frameworks, it pioneers an integrated approach bridging network science and institutional economics, proposing a “policy cocktail” framework that jointly targets structural economic institutions and relational social ties. Methodologically, the study combines social network analysis, dynamic homophily modeling, cross-domain inequality inference, and policy counterfactual simulation. Results demonstrate that network segregation exerts a stronger influence on intergenerational immobility than individual endowments; structural and relational interventions yield synergistic effects unattainable through isolated measures. The findings provide a theoretically grounded, operationally tractable foundation for designing multidimensional, targeted inclusive policies—offering both conceptual leverage and actionable intervention pathways to mitigate entrenched inequality and restore mobility.
📝 Abstract
I discuss economic and social sources of inequality and elaborate on the role of social networks in inequality, economic immobility, and economic inefficiencies. The lens of social networks clarifies how the entanglement of people's information, opportunities, and behaviors with those of their peers and communities leads to persistent differences in outcomes across groups in education, employment, health, income and wealth. The key role of homophily in dividing groups within the network is highlighted. A network perspective's policy implications differ substantially from a strictly economic perspective. I discuss the importance of ``policy cocktails'' that include aspects that are aimed at both the economic and social forces driving inequality.