# Investigating The American Dream: The Role Of Neighborhoods | Hoover Institution Source: https://www.youtube.com/watch?v=-mB-5P_GAEI Recap page: https://rapidrecap.app/video/-mB-5P_GAEI Generated: 2026-02-19T08:03:35.269+00:00 --- ## Quick Overview The research agenda investigates the macroeconomic implications of neighborhood exposure effects, finding that rising income inequality and residential segregation in the US over the last 40 years correlate strongly with lower intergenerational mobility, specifically showing higher persistence of poverty in highly segregated metropolitan areas. **Key Points:** - Income inequality in the US, measured by the Gini coefficient, has increased concurrently with residential segregation by income, measured by the dissimilarity index, over the last 40 years. - Children raised in higher opportunity neighborhoods systematically achieve better outcomes as adults in terms of educational attainment and adult income, demonstrating causal neighborhood exposure effects. - Metropolitan areas with higher income segregation in 1980 also exhibited higher income inequality at that time, and cities with the largest increase in segregation from 1980 to 2010 saw the largest increase in inequality. - The NLSY data shows that in MSAs with high income segregation, the probability of a child from the bottom income quartile remaining in the bottom quartile (persistence of poverty) is higher compared to less segregated MSAs. - The static model posits that parents choose neighborhood A (high spillover) based on a threshold rule: high wage and high child latent productivity (A), because high demand drives up rent (R_A), pricing out lower-income families. - A utilitarian planner deviates from the market equilibrium by placing all high productivity children in the high spillover neighborhood (A) regardless of parental wage, illustrating a misallocation due to the market failure of the borrowing constraint. - The researchers estimate that neighborhood spillovers in children's development account for about one-third of the rise in residential segregation by income observed in the data. **Context:** Marta Praa presented research being prepared for a handbook on intergenerational mobility, focusing on the macroeconomic implications of neighborhood exposure effects on children's outcomes. The starting point for the research agenda is the simultaneous rise in income inequality and residential segregation by income in the United States over the past four decades, alongside empirical evidence showing that neighborhood quality causally shapes children's future educational attainment and income. ## Detailed Analysis The presentation details a research agenda linking inequality, segregation, and intergenerational mobility through neighborhood exposure effects, using aggregate data showing co-movement between inequality (Gini) and segregation (dissimilarity index) since 1980, where high segregation correlates with high inequality across metropolitan areas both cross-sectionally and over time. Analysis of NLSY data reveals that high-segregation cities exhibit higher persistence of poverty (Q1 to Q1 transition). The theoretical model, initially static and focusing on two neighborhoods (A being high spillover, B having zero rent), establishes that parents choose neighborhood A if their child has high latent productivity (A) and their own wage (W) is high enough to afford the resulting higher rent; this selection mechanism amplifies segregation. The model highlights that the only reason for parents to choose different neighborhoods in this basic setup is their concern for their children's future wages (W'), which depend multiplicatively on productivity (A) and neighborhood spillover (S_N). Comparing the market equilibrium to a utilitarian planner's allocation shows that the market failure stems from parents' inability to borrow against future wages, leading the planner to assign residence based purely on child productivity to maximize total output, irrespective of parental income, thereby illustrating allocative inefficiency. The quantitative analysis suggests that neighborhood spillovers account for roughly one-third of the observed increase in income segregation. ### Empirical Facts on Inequality and Segregation - Co-movement of Gini coefficient and dissimilarity index since 1980 - Positive correlation between segregation and inequality across metropolitan areas in 1980 and in change from 1980 to 2010 - Higher segregation correlates with higher persistence of poverty (Q1 to Q1 transition) in the NLSY data. ### Static Model Setup and Equilibrium - Economy features two neighborhoods, A (fixed supply, positive rent R_A) and B (elastic supply, zero rent) - Parents maximize utility from consumption (C) and child's future wage (W') subject to budget constraint (C + R_K <= W) - Child's future wage is W' = B * A * S_N, where A is latent productivity and S_N is the neighborhood spillover assumed exogenous and highest in A. ### Residential Choice and Segregation Mechanism - Equilibrium choice dictates that parents with high wage (W) and high child productivity (A) select neighborhood A - Increased spillover gap increases excess demand for A, driving up R_A and pricing out lower-income families, leading to income segregation. ### Planner's Allocation vs. Equilibrium - The market failure is the borrowing constraint - The planner's choice is purely vertical, placing all high-productivity children in neighborhood A to maximize total income generated, irrespective of parental wage, demonstrating income misallocation. ### Model Contributions and Limitations - The model focuses on neighborhood effects shaping potential income, setting aside issues like household structure (single vs. dual parent) and wealth transmission - Quantification suggests neighborhood spillovers explain about one-third of the rise in income segregation.