IDEAS home Printed from
   My bibliography  Save this article

"Geco" and its potential for real estate research: Evidence from the US housing market


  • Ralf Hohenstatt

    () (University of Regensburg)

  • Manuel Käsbauer

    () (University of Regensburg)

  • Wolfgang Schäfers

    () (University of Regensburg)


Over the past few years, Google econometrics (Geco) turns out to be a powerful tool for research based on individuals rational. Following the seminal work of Ginsberg et al. (2009), this is the second academic journal contribution to be based on search query data from Google Insights for Search (I4S). Existing information on the Home Buying Process is embedded into existing literature on the price-volume relationship in the housing market. The main findings are: I4S subcategories yield inferences about prices and transactions in the near future. While the “Real Estate Agency†subcategory serves as a very robust indicator of transaction volume, "Home Financing" provides interesting insights into the corresponding financing decisions. Therefore, this study contributes towards improving the infor-mational efficiency of a relatively imperfect market and is addressed to policy makers as well as real estate professionals.

Suggested Citation

  • Ralf Hohenstatt & Manuel Käsbauer & Wolfgang Schäfers, 2011. ""Geco" and its potential for real estate research: Evidence from the US housing market," Journal of Real Estate Research, American Real Estate Society, vol. 33(4), pages 471-506.
  • Handle: RePEc:jre:issued:v:33:n:4:2011:p:471-506

    Download full text from publisher

    File URL:
    File Function: Full text
    Download Restriction: no


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

    Cited by:

    1. Prashant Das & Alan Ziobrowski & N. Coulson, 2015. "Online Information Search, Market Fundamentals and Apartment Real Estate," The Journal of Real Estate Finance and Economics, Springer, vol. 51(4), pages 480-502, November.

    More about this item

    JEL classification:

    • L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services


    Access and download statistics


    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:jre:issued:v:33:n:4:2011:p:471-506. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (JRER Graduate Assistant/Webmaster). General contact details of provider: .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.