IDEAS home Printed from https://ideas.repec.org/p/hal/wpaper/hal-04973503.html
   My bibliography  Save this paper

Identifying Long-Run Neighborhood Effects via Race-Based Neighborhood Sorting

Author

Listed:
  • Dionissi Aliprantis

    (CERGIC - Center for Economic Research on Governance, Inequality and Conflict - ENS de Lyon - École normale supérieure de Lyon - Université de Lyon)

  • Daniel Hartley

    (Federal Reserve Bank of Chicago)

  • Chris Muris

    (McMaster University [Hamilton, Ontario])

Abstract

Children's adult outcomes are influenced by both their parents' socioeconomic status (SES) and the SES of the neighborhood where they grew up. We explicitly distinguish between these factors to identify long-run neighborhood effects. We estimate an ordered probit model of neighborhood choice and use it to infer how population shares of parental SES in each neighborhood vary along both observed and unobserved dimensions. We then regress the average observed outcomes in neighborhoods on these population shares to identify potential outcomes. Using racebased neighborhood sorting as an instrument, we estimate that about half of recent racial inequality in intergenerational mobility is explained by residential segregation.

Suggested Citation

  • Dionissi Aliprantis & Daniel Hartley & Chris Muris, 2025. "Identifying Long-Run Neighborhood Effects via Race-Based Neighborhood Sorting," Working Papers hal-04973503, HAL.
  • Handle: RePEc:hal:wpaper:hal-04973503
    Note: View the original document on HAL open archive server: https://hal.science/hal-04973503v1
    as

    Download full text from publisher

    File URL: https://hal.science/hal-04973503v1/document
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:wpaper:hal-04973503. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.