Forecasting Residential Real Estate Price Changes from Online Search Activity
AbstractThe intention of buying a home is revealed by many potential home buyers when they turn to the Internet to search for their future residence. This paper examines the extent to which future cross-sectional differences in home price changes are predicted by online search intensity in prior periods. Our findings are economically meaningful and suggest that abnormal search intensity for real estate in a particular city can help predict the cityâ€™s future abnormal housing price change. On average, cities associated with abnormally high real estate search intensity consistently outperform cities with abnormally low real estate search volume by as much as 8.5% over a two-year period.
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Bibliographic InfoArticle provided by American Real Estate Society in its journal journal of Real Estate Research.
Volume (Year): 35 (2013)
Issue (Month): 3 ()
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
Web page: http://www.aresnet.org/
Postal: Diane Quarles American Real Estate Society Manager of Member Services Clemson University Box 341323 Clemson, SC 29634-1323
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- Theologos Dergiades & Costas Milas & Theodore Panagiotidis, 2014.
"Tweets, Google Trends and Sovereign Spreads in the GIIPS,"
Discussion Paper Series
2014_04, Department of Economics, University of Macedonia, revised Jun 2014.
- Theologos Dergiades & Costas Milas & Theodore Panagiotidis, 2013. "Tweets, Google trends and sovereign spreads in the GIIPS," LSE Research Online Documents on Economics 54405, London School of Economics and Political Science, LSE Library.
- Theologos Dergiades & Costas Milas & Theodore Panagiotidis, 2013. "Tweets, Google Trends and Sovereign Spreads in the GIIPS," GreeSE â Hellenic Observatory Papers on Greece and Southeast Europe 78, Hellenic Observatory, LSE.
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