IDEAS home Printed from https://ideas.repec.org/p/red/sed019/70.html
   My bibliography  Save this paper

The Long-Run Effects of Low-Income Housing on Neighborhood Composition

Author

Listed:
  • Morris Davis

    (Rutgers Business School, Rutgers Univers)

  • Daniel Hartley

    (Federal Reserve Bank of Chicago)

  • Jesse Gregory

    (University of Wisconsin)

Abstract

We develop a new model of the demand for neighborhoods and use the model to forecast the long-run impact of new low-income housing units on neighborhood demographic composition and housing rents. We estimate the utility that each of a large number of observable “types” of households derive from neighborhoods (Census tracts) in MSAs throughout the U.S. using detailed panel data on the location choices of 5% of the U.S. population. We then estimate each type's preferences over neighborhood demographics, exploiting a new instrumental variables approach that combines the implications of our model with two discontinuities in the formula used by the department of Housing and Urban Development (HUD) for determining eligibility for federal low-income housing development credits. With knowledge of each type's preferences for neighborhoods and demographics, we simulate the long-run impacts of various low-income housing development policies. If a relatively large amount of low-income housing is placed in only one tract, the share of low-income and African-American residents increases, but the results vary by tract and the range of possible outcomes is quite large. If a small number of low-income units are simultaneously placed in a targeted tract and many adjacent tracts, only small changes to tract demographic composition occur.

Suggested Citation

  • Morris Davis & Daniel Hartley & Jesse Gregory, 2019. "The Long-Run Effects of Low-Income Housing on Neighborhood Composition," 2019 Meeting Papers 70, Society for Economic Dynamics.
  • Handle: RePEc:red:sed019:70
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Eric Chyn & Lawrence F. Katz, 2021. "Neighborhoods Matter: Assessing the Evidence for Place Effects," Journal of Economic Perspectives, American Economic Association, vol. 35(4), pages 197-222, Fall.
    2. Aliprantis, Dionissi & Martin, Hal & Tauber, Kristen, 2024. "What determines the success of housing mobility programs?," Journal of Housing Economics, Elsevier, vol. 65(C).
    3. Jipeng Zhang & Lue Zhan & Chong Lu, 2020. "The long-run effects of poverty alleviation resettlement on child development: Evidence from a quasi-experiment in China," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 43(10), pages 245-284.

    More about this item

    Statistics

    Access and download statistics

    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:red:sed019:70. 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: Christian Zimmermann (email available below). General contact details of provider: https://edirc.repec.org/data/sedddea.html .

    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.