IDEAS home Printed from https://ideas.repec.org/a/taf/recsxx/v17y2014i2p325-352.html
   My bibliography  Save this article

The Engel Curve of Owner-Occupied Housing Consumption

Author

Listed:
  • Erling Røed Larsen

Abstract

Housing is a major component of aggregate demand, and understanding how the demand for housing co-varies with income is useful for analysis and policy. While estimating housing consumption for tenants amounts to observing rents, estimating housing consumption for owner-occupiers is challenging because it is not directly observable and interest payments vary with re-paid principals. In order to examine the housing consumption for owner- occupiers, this article combines micro data sets on income and imputed rents for owner- occupiers based on home attributes from a consumer expenditure survey and monthly rents in a rental survey. This allows estimation of an Engel curve of owner-occupied consumption, both parametrically and non-parametrically. Regression results demonstrate that the income share of owner-occupied housing consumption decreases with income, while the Engel elasticity computed at the mean is 0.32 and increasing in income.

Suggested Citation

  • Erling Røed Larsen, 2014. "The Engel Curve of Owner-Occupied Housing Consumption," Journal of Applied Economics, Taylor & Francis Journals, vol. 17(2), pages 325-352, November.
  • Handle: RePEc:taf:recsxx:v:17:y:2014:i:2:p:325-352
    DOI: 10.1016/S1514-0326(14)60015-5
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1016/S1514-0326(14)60015-5
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1016/S1514-0326(14)60015-5?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.

    Citations

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


    Cited by:

    1. Trond Arne Borgersen, 2019. "Social Housing Policy in a Segmented Housing Market: Indirect Effects on Markets and on Individuals," International Journal of Economic Sciences, International Institute of Social and Economic Sciences, vol. 8(2), pages 1-21, December.
    2. Fredrik Carlsen & Stefan Leknes, 2022. "For whom are cities good places to live?," Regional Studies, Taylor & Francis Journals, vol. 56(12), pages 2177-2190, December.

    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:recsxx:v:17:y:2014:i:2:p:325-352. 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/recs .

    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.