IDEAS home Printed from https://ideas.repec.org/p/cpb/discus/325.html
   My bibliography  Save this paper

Internet searches and transactions on the housing market

Author

Listed:
  • Sander van Veldhuizen
  • Benedikt Vogt

    (CPB Netherlands Bureau for Economic Policy Analysis)

  • 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
    as

    Download full text from publisher

    File URL: https://www.cpb.nl/sites/default/files/publicaties/download/cpb-discussion-paper-325-internet-searches-and-transactions-dutch-housing-market.pdf/cpb-discussion-paper-325-internet-searches-and-transactions-dutch-housing-market.pdf
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cpb:discus:325. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/cpbgvnl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.