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Punishing and toxic neighborhood environments independently predict the intergenerational social mobility of black and white children

Author

Listed:
  • Robert Manduca

    (Department of Sociology, Harvard University, Cambridge, MA 02138)

  • Robert J. Sampson

    (Department of Sociology, Harvard University, Cambridge, MA 02138)

Abstract

We use data on intergenerational social mobility by neighborhood to examine how social and physical environments beyond concentrated poverty predict children’s long-term well-being. First, we examine neighborhoods that are harsh on children’s development: those characterized by high levels of violence, incarceration, and lead exposure. Second, we examine potential supportive or offsetting mechanisms that promote children’s development, such as informal social control, cohesion among neighbors, and organizational participation. Census tract mobility estimates from linked income tax and Census records are merged with surveys and administrative records in Chicago. We find that exposure to neighborhood violence, incarceration, and lead combine to independently predict poor black boys’ later incarceration as adults and lower income rank relative to their parents, and poor black girls’ teenage motherhood. Features of neighborhood social organization matter less, but are selectively important. Results for poor whites also show that toxic environments independently predict lower social mobility, as do features of social organization, to a lesser extent. Overall, our measures contribute a 76% relative increase in explained variance for black male incarceration beyond that of concentrated poverty and other standard characteristics, an 18% increase for black male income rank (70% for whites), and a 17% increase for teenage motherhood of black girls (40% for whites).

Suggested Citation

  • Robert Manduca & Robert J. Sampson, 2019. "Punishing and toxic neighborhood environments independently predict the intergenerational social mobility of black and white children," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 116(16), pages 7772-7777, April.
  • Handle: RePEc:nas:journl:v:116:y:2019:p:7772-7777
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    Citations

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    Cited by:

    1. Muller, Christopher & Roehrkasse, Alexander, 2020. "Racial and Class Inequality in U.S. Incarceration in the Early Twenty-First Century," Institute for Research on Labor and Employment, Working Paper Series qt39c0x0c6, Institute of Industrial Relations, UC Berkeley.
    2. Basse, Tobias & Desmyter, Steven & Saft, Danilo & Wegener, Christoph, 2023. "Leading indicators for the US housing market: New empirical evidence and thoughts about implications for risk managers and ESG investors," International Review of Financial Analysis, Elsevier, vol. 89(C).
    3. Dylan Shane Connor & Michael Storper, 2020. "The changing geography of social mobility in the United States," Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, vol. 117(48), pages 30309-30317, December.
    4. Edward L. Glaeser, 2020. "Urbanization and Its Discontents," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 46(2), pages 191-218, April.
    5. Montalvo-Clavijo, Cesar & Castillo-Chavez, Carlos & Perrings, Charles & Mubayi, Anuj, 2023. "Neighborhood effects, college education, and social mobility," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    6. Locke, Dexter & Hall, Billy & Grove, J Morgan & Pickett, Steward T.A. & Ogden, Laura A. & Aoki, Carissa & Boone, Christopher G. & O’Neil-Dunne, Jarlath PM, 2020. "Residential housing segregation and urban tree canopy in 37 US Cities," SocArXiv 97zcs, Center for Open Science.
    7. Haley McAvay, 2020. "Socioeconomic status and long-term exposure to disadvantaged neighbourhoods in France," Urban Studies, Urban Studies Journal Limited, vol. 57(13), pages 2663-2680, October.
    8. Raj Chetty & Nathaniel Hendren & Lawrence F. Katz, 2020. "Response to “The Moving to Opportunity Experiment: What Do Heterogeneous Estimates of the Effect of Moving Imply About Causes?â€," Econ Journal Watch, Econ Journal Watch, vol. 17(2), pages 299–304-2, September.
    9. Higney, Anthony & Hanley, Nick & Moro, Mirko, 2022. "The lead-crime hypothesis: A meta-analysis," Regional Science and Urban Economics, Elsevier, vol. 97(C).

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