Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/30772
Title: Information disclosure vs. information learning via Google search
Authors: Damianov, DS
Wang, X
Yan, C
Keywords: mortgage default risk;foreclosures;Google search
Issue Date: 26-Jun-2024
Publisher: European Real Estate Society
Citation: Damianov, D.S., Wang, X. and Yan, C. (2024) 'Information disclosure vs. information learning via Google search', 30th Annual European Real Estate Society Conference, Sopot & Gdańsk, Poland, 26-29 June pp. 1 - 48.
Abstract: We decompose the Google Trends Search Volume Index into naïve and sophisticated searches and examine their impacts on mortgage default, respectively. Using U.S. data from 2006 to 2018, we find that the sophisticated search activity has a positive and robust relationship with the change in the percentage of mortgages in 90+ days of delinquency. However, foreclosure starts are positively related to naïve search activity in the short term, but negatively related to sophisticated search activity in the long term. Borrowers are more likely learn from sophisticated online searches than from naïve online searches, and they can use the information to avoid foreclosure starts and keep their houses. The relationship between Google search activity and mortgage default outcomes are significantly stronger in states that experienced substantial house price drops in the recent year. Our findings are robust to a battery of alternative settings.
URI: https://bura.brunel.ac.uk/handle/2438/30772
Other Identifiers: ORCiD: Xiangdong Wang https://orcid.org/0009-0005-2004-7679
Appears in Collections:Dept of Economics and Finance Research Papers

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