Direct versus search engine traffic: An innovative approach to demand analysis in the property market

International Journal of Housing Markets and Analysis

Volumn 5, Issue 4, 2012, Pages 392-413

  Kaesbauer, Manuel ^a   Hohenstatt, Ralf ^a   Reed, Richard ^b  

^a UNIVERSITY OF REGENSBURG   (Germany)

^b DEAKIN UNIVERSITY   (Australia)

Author keywords

Google Insights for Search; Home buying search process; House price; Housing; Prices; Property marketing; Search engines; Search query data; Sentiment; Transaction volume

Indexed keywords

EID: 84866872350     PISSN: 17538270     EISSN: 17538289     Source Type: Journal    
DOI: 10.1108/17538271211268538     Document Type: Article

References (33)

1. API (2007), Valuation of Real Estate, Australian Property Institute, Canberra.
2. Barberis, N., Huang, M. and Santos, T. (2001), "Prospect theory and asset prices" in The Quarterly Journal of Economics, Vol. 36, No. 1, pp. 1-53.
3. Berg, N. (2003), "Normative behavioral economics" in The Journal of Socio-Economics, Vol. 32, pp. 411-27.
4. Broder, A. (2002), "A taxonomy of web search", SIGIR Forum, Vol. 36, No. 2.
5. Comscore (2011), available at www.comscore.com/.
6. Constant, A. and Zimmermann, K.F. (2008), "Im Angesicht der Krise: US-Präsidentschaftswahlen in transnationaler Sicht" in Wochenbericht, Vol. 75, No. 44, pp. 688-701.
7. Detlor, B., Sproule, S. and Gupta, C. (2003), "Pre-purchase online information seeking: search versus browse" in Journal of Electronic Commerce Research, Vol. 4, No. 2, pp. 72-84.
8. Experian Hitwise (2011), "UK internet search market, ranked by volume of searches for the 4 weeks ending 25/06/2011", (accessed 27 June 2011).
9. FairWinds Partners (2008), "Direct navigation, perspectives 3:7 direct navigation, part 1 of 3", (accessed 1 November 2011).
10. Ginsberg, J., Mohebbi, M.H., Patel, R.S., Brammer, L., Smolinski, M.S. and Brilliant, L. (2009), "Detecting influenza epidemics using search engine query data" in Nature, Vol. 457, No. 7232, pp. 1012-14.
11. Hodkinson, C., Kiel, G. and McColl-Kennedy, J.R. (2000), "Consumer web search behaviour: diagrammatic illustration of wayfinding on the web" in International Journal of Human-Computer Studies, Vol. 52, No. 5, pp. 805-30.
12. Hohenstatt, R., Kaesbauer, M. and Schaefers, W. (2010), "'Geco' and its potential for real estate research: evidence from the US housing market" in Journal of Real Estate Research, Vol. 33, No. 4, pp. 471-506.
13. Hsieh-Yee, I. (2001), "Research on web search behavior" in Library & Information Science Research, Vol. 23, No. 1, pp. 168-85.
14. Höscher, C. and Strube, G. (2000), "Web search behavior of internet experts and newbies" in Proceedings of the 9th International World Wide Web Conference on Computer Networks: The International Journal of Computer and Telecommunications Networking, pp. 337-46.
15. iProspect (2007), "iProspect offline channel influence on online search behavior study", (accessed 23 October 2011).
16. Jana, S. and Chatterjee, S. (2004), "Quantifying web-site visits using web statistics: an extended cybermetrics study" in Online Information Review, Vol. 28, No. 3, pp. 191-9.
17. Kaheman, D. and Tversky, A. (1979), "Prospect theory: an analysis of decision under risk" in Econometrica, Vol. 47, No. 2, pp. 263-91.
18. McDermott, R., Fowler, J.H. and Smirnov, O. (2008), "On the evolutionary origin of prospect theory preferences" in The Journal of Politics, Vol. 70, No. 2, pp. 335-50.
19. Morrison, J.B., Pirolli, P. and Card, S.K. (2001), "A taxonomic analysis of what world wide web activities significantly impact people's decisions and actions" in pp. 163-4, paper presented at Extended Abstracts of CHI'01, ACM Conference on Human Factors in Computing Systems.
20. Nielsen (2011), available at: www.nielsen.com/.
21. Netmarketshare (2011), "Search engine market share", (accessed 22 November 2011).
22. Propertyportalwatch (2011b), 23 March 2011 (accessed 10 October 2011).
23. Propertyportalwatch (2011a), 11 April 2011 (accessed 10 October 2011).
24. Qiu, F., Liu, Z. and Cho, J. (2005), "Analysis of user web traffic with a focus on search activities" in Doan, A., Neven, F., McCann, R. and Bex, G.J. (Eds.), Proceedings 8th International Workshop on the Web and Databases (WebDB), New York, NY, pp. 103-8.
25. Rightmove (2011a), "Full year results 2010 presentation", 25 February (accessed 25 August 2011).
26. Rightmove (2011b), Press & information (accessed 28 August 2011).
27. Rowley, J. (2000), "Product search in e-shopping: a review and research propositions" in Journal of Consumer Marketing, Vol. 17, No. 1, pp. 20-35.
28. Shiller, R.J. (2007), "Understanding recent trends in house prices and home ownership", Yale University, New Haven, CT, Cowles Foundation Discussion Paper No. 1630.
29. Simon, H.A. (1959), "Theories of decision-making in economics and behavioural science" in The American Economic Review, Vol. 69, No. 3, pp. 253-83.
30. Toms, E.G. (2000), "Understanding and facilitating the browsing of electronic text" in International Journal of Human-Computer Studies, Vol. 52, No. 3, pp. 423-52.
31. Tse, R.Y.C. (2002), "Estimating neighbourhood effects in house prices: towards a new hedonic model approach" in Urban Studies, Vol. 39, No. 7, pp. 1165-80.
32. Wolfinbarger, M. and Gilly, M.C. (2001), "Shopping online for freedom, control, and fun" in California Management Review, Vol. 43, No. 2, pp. 34-55.
33. Wu, L. and Brynjolfsson, E. (2009), "The future of prediction: how Google searches foreshadow housing prices and quantities", ICIS 2009 Proceedings, Phoenix, AZ, 147.