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Internet searches and transactions on the housing market

Author

Listed:
  • Sander van Veldhuizen
  • Benedikt Vogt
  • Bart Voogt

Abstract

We use Google searches of the word “mortgage” to explain 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 provides 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 housing market," CPB Discussion Paper 325, CPB Netherlands Bureau for Economic Policy Analysis.
    • Handle: RePEc:cpb:discus:325
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    Citations

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    Cited by:

    1. 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).
    2. 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).
    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.

    More about this item

    JEL classification:

    • E2 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment
    • E27 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Forecasting and Simulation: Models and Applications
    • R2 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis
    • R3 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location

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