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Neighborhood Sorting Obscures Neighborhood Effects in the Opportunity Atlas

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  • Dionissi Aliprantis
  • Hal Martin

Abstract

The Opportunity Atlas (OA) is an innovative data set that ranks neighborhoods according to children’s adult outcomes in several domains, including income. Conceptually, outcomes offer new evidence about neighborhood effects when measured in isolation from neighborhood sorting. This paper shows that neighborhood sorting contributes to OA estimates. We document cases in which small sample sizes and changes over time can explain disagreements between OA rankings and those based on contemporaneous variables. Our results suggest caution for interpretations of the OA data set at a granular level, particularly for predictions about the outcomes of black children in high-income neighborhoods.

Suggested Citation

  • Dionissi Aliprantis & Hal Martin, 2020. "Neighborhood Sorting Obscures Neighborhood Effects in the Opportunity Atlas," Working Papers 20-37, Federal Reserve Bank of Cleveland.
    • Handle: RePEc:fip:fedcwq:89103
    DOI: 10.26509/frbc-wp-202037
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    References listed on IDEAS

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    1. Magne Mogstad & Joseph P Romano & Azeem M Shaikh & Daniel Wilhelm, 2024. "Inference for Ranks with Applications to Mobility across Neighbourhoods and Academic Achievement across Countries," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(1), pages 476-518.
    2. Bryan S. Graham, 2018. "Identifying and Estimating Neighborhood Effects," Journal of Economic Literature, American Economic Association, vol. 56(2), pages 450-500, June.
    3. 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.
    4. Raj Chetty & John N. Friedman, 2019. "A Practical Method to Reduce Privacy Loss When Disclosing Statistics Based on Small Samples," AEA Papers and Proceedings, American Economic Association, vol. 109, pages 414-420, May.
    5. 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.
    6. Raj Chetty & Nathaniel Hendren & Maggie R Jones & Sonya R Porter, 2020. "Race and Economic Opportunity in the United States: an Intergenerational Perspective [“Intergenerational Mobility of Immigrants in the US Over Two Centuries,”]," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(2), pages 711-783.
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    9. Dionissi Aliprantis, 2013. "Human capital in the inner city," Working Papers (Old Series) 1302, Federal Reserve Bank of Cleveland.
    10. 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.
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    13. Dionissi Aliprantis, 2011. "Assessing the evidence on neighborhood effects from moving to opportunity," Working Papers (Old Series) 1101, Federal Reserve Bank of Cleveland.
    14. Dionissi Aliprantis & Daniel R. Carroll, 2018. "Neighborhood dynamics and the distribution of opportunity," Quantitative Economics, Econometric Society, vol. 9(1), pages 247-303, March.
    15. Dionissi Aliprantis, 2017. "Human capital in the inner city," Empirical Economics, Springer, vol. 53(3), pages 1125-1169, November.
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    17. Aliprantis, Dionissi & Carroll, Daniel R. & Young, Eric R., 2024. "What explains neighborhood sorting by income and race?," Journal of Urban Economics, Elsevier, vol. 141(C).
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    19. Aliprantis, Dionissi & Carroll, Daniel R. & Young, Eric R., 2024. "What explains neighborhood sorting by income and race?," Journal of Urban Economics, Elsevier, vol. 141(C).
    20. Dionissi Aliprantis, 2017. "Assessing the evidence on neighborhood effects from Moving to Opportunity," Empirical Economics, Springer, vol. 52(3), pages 925-954, May.
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    Cited by:

    1. 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.
    2. Mikhail Golosov & Michael Graber & Magne Mogstad & David Novgorodsky, 2021. "How Americans Respond to Idiosyncratic and Exogenous Changes in Household Wealth and Unearned Income," NBER Working Papers 29000, National Bureau of Economic Research, Inc.

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    More about this item

    Keywords

    neighborhood sorting; neighborhood effects; Opportunity Atlas;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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