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Internet searches and transactions on the Dutch housing market

Author

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  • Sander van Veldhuizen
  • Benedikt Vogt
  • Bart Voogt

Abstract

We use Google searches of the word ‘mortgage’ to explain monthly housing transactions in the Netherlands in the period from 2004 until 2015. Our estimates indicate that Google searches of the previous months are significantly positively associated with housing transactions in the current month. This shows evidence that Internet search data can provide information about real market behaviour.

Suggested Citation

  • Sander van Veldhuizen & Benedikt Vogt & Bart Voogt, 2016. "Internet searches and transactions on the Dutch housing market," Applied Economics Letters, Taylor & Francis Journals, vol. 23(18), pages 1321-1324, December.
    • Handle: RePEc:taf:apeclt:v:23:y:2016:i:18:p:1321-1324
    DOI: 10.1080/13504851.2016.1153785
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    Cited by:

    1. Qadan, Mahmoud & Zoua’bi, Maher, 2019. "Financial attention and the demand for information," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 82(C).
    2. Bricongne, Jean-Charles & Meunier, Baptiste & Pouget, Sylvain, 2023. "Web-scraping housing prices in real-time: The Covid-19 crisis in the UK," Journal of Housing Economics, Elsevier, vol. 59(PB).
    3. Steegmans, Joep & Hassink, Wolter, 2017. "Financial position and house price determination: An empirical study of income and wealth effects," Journal of Housing Economics, Elsevier, vol. 36(C), pages 8-24.
    4. J.W.A.M. Steegmans, 2019. "The Pearls and Perils of Google Trends: A Housing Market Application," Working Papers 19-11, Utrecht School of Economics.
    5. Meshcheryakov, Artem & Winters, Drew B., 2022. "Retail investor attention and the limit order book: Intraday analysis of attention-based trading," International Review of Financial Analysis, Elsevier, vol. 81(C).

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