Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/201345
Title (translated): 
Predicting Housing Prices with Google Searches in Finland
Authors: 
Widgrén, Joona
Year of Publication: 
2016
Series/Report no.: 
ETLA Report 63
Abstract (Translated): 
This report examines whether Google search queries can be used to predict the present and the near future house prices in Finland. Compared to a simple benchmark model, Google searches improve the prediction of the present house price index by 7.5 % measured by mean absolute error. In addition, search queries improve the forecast of near future house prices. Predicting the present and near future house prices is relevant information to many agents, such as realtors and political decision makers.
Subjects: 
Google Trends
Internet
Nowcasting
Forecasting
Housing market
Time series
JEL: 
C1
C22
C43
C53
C82
E27
Document Type: 
Research Report
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