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

Listed author(s):
  • Ralf Hohenstatt


    (University of Regensburg)

  • Manuel Käsbauer


    (University of Regensburg)

  • Wolfgang Schäfers


    (University of Regensburg)

Registered author(s):

    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.

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    Article provided by American Real Estate Society in its journal journal of Real Estate Research.

    Volume (Year): 33 (2011)
    Issue (Month): 4 ()
    Pages: 471-506

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    Handle: RePEc:jre:issued:v:33:n:4:2011:p:471-506
    Contact details of provider: Postal:
    American Real Estate Society Clemson University School of Business & Behavioral Science Department of Finance 401 Sirrine Hall Clemson, SC 29634-1323

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    Order Information: Postal: Diane Quarles American Real Estate Society Manager of Member Services Clemson University Box 341323 Clemson, SC 29634-1323
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