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Neighborhood effects on secondary school performance of Latino and African American youth: Evidence from a natural experiment in Denver

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  • Galster, George
  • Santiago, Anna
  • Stack, Lisa
  • Cutsinger, Jackie

Abstract

We quantify the relationships between measures of neighborhood context and school performance (repeating a grade, grade point average and dropping out before a diploma is earned) for low-income Latino and African American adolescents ages 12–18. We employ administrative and survey data from a natural experiment involving the Denver Housing Authority's public housing program to minimize geographic selection bias and provide wide variation in neighborhood contexts. We use characteristics of the neighborhood initially offered by DHA to waiting list applicants as identifying instruments for the neighborhood context experienced as an adolescent. Cox proportional hazard models (OLS in the case of grades) demonstrate that neighborhoods having less social vulnerability, higher occupational prestige and lower percentages of African American residents robustly predict superior secondary educational performance in one or more dimensions, though magnitudes are typically contingent on ethnicity.

Suggested Citation

  • Galster, George & Santiago, Anna & Stack, Lisa & Cutsinger, Jackie, 2016. "Neighborhood effects on secondary school performance of Latino and African American youth: Evidence from a natural experiment in Denver," Journal of Urban Economics, Elsevier, vol. 93(C), pages 30-48.
  • Handle: RePEc:eee:juecon:v:93:y:2016:i:c:p:30-48
    DOI: 10.1016/j.jue.2016.02.004
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    1. Brian A. Jacob, 2004. "Public Housing, Housing Vouchers, and Student Achievement: Evidence from Public Housing Demolitions in Chicago," American Economic Review, American Economic Association, vol. 94(1), pages 233-258, March.
    2. Daniel Aaronson, 1998. "Using Sibling Data to Estimate the Impact of Neighborhoods on Children's Educational Outcomes," Journal of Human Resources, University of Wisconsin Press, vol. 33(4), pages 915-946.
    3. Stefanie DeLuca & Greg J. Duncan & Micere Keels & Ruby M. Mendenhall, 2010. "Gautreaux mothers and their children: an update," Housing Policy Debate, Taylor & Francis Journals, vol. 20(1), pages 7-25, January.
    4. Lisa Sanbonmatsu & Jeffrey R. Kling & Greg J. Duncan & Jeanne Brooks-Gunn, 2006. "Neighborhoods and Academic Achievement: Results from the Moving to Opportunity Experiment," Journal of Human Resources, University of Wisconsin Press, vol. 41(4).
    5. Weinhardt, Felix, 2014. "Social housing, neighborhood quality and student performance," Journal of Urban Economics, Elsevier, vol. 82(C), pages 12-31.
    6. Katz, Lawrence & Duncan, Greg J. & Kling, Jeffrey R. & Kessler, Ronald C. & Ludwig, Jens & Sanbonmatsu, Lisa & Liebman, Jeffrey B., 2008. "What Can We Learn about Neighborhood Effects from the Moving to Opportunity Experiment?," Scholarly Articles 2766959, Harvard University Department of Economics.
    7. Damm, Anna Piil, 2014. "Neighborhood quality and labor market outcomes: Evidence from quasi-random neighborhood assignment of immigrants," Journal of Urban Economics, Elsevier, vol. 79(C), pages 139-166.
    8. Jeffrey R Kling & Jeffrey B Liebman & Lawrence F Katz, 2007. "Experimental Analysis of Neighborhood Effects," Econometrica, Econometric Society, vol. 75(1), pages 83-119, January.
    9. Shawn Moulton & Laura R. Peck & Keri-Nicole Dillman, 2014. "Moving to Opportunity's Impact on Health and Well-Being Among High-Dosage Participants," Housing Policy Debate, Taylor & Francis Journals, vol. 24(2), pages 415-445, April.
    10. Victor Lavy & Olmo Silva & Felix Weinhardt, 2009. "The Good, the Bad and the Average: Evidence on the Scale and Nature of Ability Peer Effects in Schools," NBER Working Papers 15600, National Bureau of Economic Research, Inc.
    11. Durlauf, Steven N., 2004. "Neighborhood effects," Handbook of Regional and Urban Economics, in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 50, pages 2173-2242, Elsevier.
    12. Datcher, Linda P, 1982. "Effects of Community and Family Background on Achievement," The Review of Economics and Statistics, MIT Press, vol. 64(1), pages 32-41, February.
    13. Robert Bifulco & Jason M. Fletcher & Stephen L. Ross, 2011. "The Effect of Classmate Characteristics on Post-secondary Outcomes: Evidence from the Add Health," American Economic Journal: Economic Policy, American Economic Association, vol. 3(1), pages 25-53, February.
    14. Raj Chetty & Nathaniel Hendren & Lawrence F. Katz, 2016. "The Effects of Exposure to Better Neighborhoods on Children: New Evidence from the Moving to Opportunity Experiment," American Economic Review, American Economic Association, vol. 106(4), pages 855-902, April.
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    Cited by:

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    2. Dionissi Aliprantis & Hal Martin & Kristen Tauber, 2020. "What Determines the Success of Housing Mobility Programs?," Working Papers 20-36R, Federal Reserve Bank of Cleveland, revised 19 Oct 2022.
    3. Aarland, Kristin & Santiago, Anna Maria & Galster, George C. & Nordvik, Viggo, 2021. "Childhood Housing Tenure and Young Adult Educational Outcomes: Evidence from Sibling Comparisons in Norway," Journal of Housing Economics, Elsevier, vol. 54(C).
    4. Becker, Dominik & Wessling, Katarina, 2020. "The impact of classroom, school, neighborhood, and institutional factors on teachers’ expectations," Research Memorandum 012, Maastricht University, Graduate School of Business and Economics (GSBE).
    5. George C. Galster & Anna Maria Santiago & Richard J. Smith & Joffre Leroux, 2019. "Benefit–Cost Analysis of an Innovative Program for Self-Sufficiency and Homeownership," Evaluation Review, , vol. 43(1-2), pages 3-40, February.
    6. Becker, Dominik & Wessling, Katarina, 2020. "The impact of classroom, school, neighborhood, and institutional factors on teachers’ expectations," ROA Research Memorandum 004, Maastricht University, Research Centre for Education and the Labour Market (ROA).
    7. Dionissi Aliprantis & Francisca G.-C. Richter, 2020. "Evidence of Neighborhood Effects from Moving to Opportunity: Lates of Neighborhood Quality," The Review of Economics and Statistics, MIT Press, vol. 102(4), pages 633-647, October.
    8. Anna Maria Santiago & Kristen A. Berg & Joffré Leroux, 2021. "Assessing the Impact of Neighborhood Conditions on Neurodevelopmental Disorders during Childhood," IJERPH, MDPI, vol. 18(17), pages 1-14, August.
    9. Simen Markussen & Knut Røed, 2023. "Are richer neighborhoods always better for the kids?," Journal of International Economic Law, Oxford University Press, vol. 23(3), pages 629-651.

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    More about this item

    Keywords

    Neighborhood effects; Natural experiments; Academic performance; Instrumental variables;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • R2 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis
    • R29 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Other

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