IDEAS home Printed from https://ideas.repec.org/a/taf/rjrhxx/v23y2014i2p177-202.html
   My bibliography  Save this article

Markov Chain Model of Rent Burden in the Housing Choice Voucher Program

Author

Listed:
  • Brent Mast

Abstract

In this study, rent burden in the Housing Choice Voucher Program is modeled as a Markov chain. The model is predictive of rent burden with program tenure, using longitudinal household data for 2000 through 2009. The results indicate rent burden increases for many years after admission. Consistent with results for unassisted low-income households, there is considerable mobility across burden categories over time. The rent burden formula indicates that HUD policy and housing agency policy should not be considered in isolation; estimates imply that their interaction has an effect large in both magnitude and statistical significance. A limitation of the Markov chain model is that it cannot be used to estimate variance; I demonstrate a simple method for doing so via bootstrapping.

Suggested Citation

  • Brent Mast, 2014. "Markov Chain Model of Rent Burden in the Housing Choice Voucher Program," Journal of Housing Research, Taylor & Francis Journals, vol. 23(2), pages 177-202, June.
    • Handle: RePEc:taf:rjrhxx:v:23:y:2014:i:2:p:177-202
    DOI: 10.1080/10835547.2014.12092090
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10835547.2014.12092090
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/10835547.2014.12092090?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:taf:rjrhxx:v:23:y:2014:i:2:p:177-202. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/rjrh20 .

    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.