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Use of Google Trends to Predict the Real Estate Market: Evidence from the United Kingdom

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  • Grzegorz Michal Bulczak

    (Gdynia Maritime University)

Abstract

This paper demonstrates how Google Trends data can be used to improve real estate market predictions. Online searches produce valuable data that precede economic decisions. This study explores the usefulness of Google search engine data in predicting the real estate markets. The results indicate that Google data can be an additional source of information for investors and policymakers. This analysis adds to the existing literature that explores the role of behavioral factors in the decision-making process. Google Trends data are identified as an important predictor of real estate market prices and sales volume.

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  • Grzegorz Michal Bulczak, 2021. "Use of Google Trends to Predict the Real Estate Market: Evidence from the United Kingdom," International Real Estate Review, Global Social Science Institute, vol. 24(4), pages 613-631.
    • Handle: RePEc:ire:issued:v:24:n:04:2021:p:613-631
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    References listed on IDEAS

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    Cited by:

    1. Mirosław Bełej, 2022. "Does Google Trends Show the Strength of Social Interest as a Predictor of Housing Price Dynamics?," Sustainability, MDPI, vol. 14(9), pages 1-14, May.
    2. Spyridon Boikos & Eirini Makantasi & Theodore Panagiotidis, 2023. "Macroeconomic Uncertainty Indices for European Countries," Notas Económicas, Faculty of Economics, University of Coimbra, issue 57, pages 7-56, December.

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