IDEAS home Printed from https://ideas.repec.org/a/taf/apfiec/v23y2013i6p505-513.html
   My bibliography  Save this article

Forecasting US housing starts under asymmetric loss

Author

Listed:
  • Christian Pierdzioch
  • Jan-Christoph Rülke
  • Georg Stadtmann

Abstract

Survey data of forecasts of the housing market may provide a particularly rich data environment for researchers and policymakers to study developments in housing markets. Based on the approach advanced by Elliott et al . (2005), we studied the properties of a large set of survey data of housing starts in the United States. We document the heterogeneity of forecasts, analyse the shape of forecasters' loss function, study the rationality of forecasts and the temporal variation in forecasts.

Suggested Citation

  • Christian Pierdzioch & Jan-Christoph Rülke & Georg Stadtmann, 2013. "Forecasting US housing starts under asymmetric loss," Applied Financial Economics, Taylor & Francis Journals, vol. 23(6), pages 505-513, March.
    • Handle: RePEc:taf:apfiec:v:23:y:2013:i:6:p:505-513
    DOI: 10.1080/09603107.2012.730130
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/09603107.2012.730130
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/09603107.2012.730130?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 look for a different version below or search for a different version of it.

    Other versions of this item:

    Citations

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


    Cited by:

    1. Siddhartha S. Bora & Ani L. Katchova & Todd H. Kuethe, 2021. "The Rationality of USDA Forecasts under Multivariate Asymmetric Loss," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 1006-1033, May.
    2. Dimitrios Papastamos & Fotis Mouzakis & Simon Stevenson, 2014. "Rationality and Momentum in Real Estate Investment Forecasts," Real Estate & Planning Working Papers rep-wp2014-07, Henley Business School, University of Reading.
    3. Tim Meyer, 2019. "On the Directional Accuracy of United States Housing Starts Forecasts: Evidence from Survey Data," The Journal of Real Estate Finance and Economics, Springer, vol. 58(3), pages 457-488, April.

    More about this item

    JEL classification:

    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations

    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:apfiec:v:23:y:2013:i:6:p:505-513. 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/RAFE20 .

    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.