{"title":"Use of Google Trends to Predict the Real Estate Market: Evidence from the United\u0000 Kingdom","authors":"G. Bulczak","doi":"10.53383/100332","DOIUrl":"https://doi.org/10.53383/100332","url":null,"abstract":"This paper demonstrates how Google Trends data can be used to improve real estate\u0000 market predictions. Online searches produce valuable data that precede economic\u0000 decisions. This study explores the usefulness of Google search engine data in predicting\u0000 the real estate markets. The results indicate that Google data can be an additional\u0000 source of information for investors and policymakers. This analysis adds to the existing\u0000 literature that explores the role of behavioral factors in the decision-making process.\u0000 Google Trends data are identified as an important predictor of real estate market prices\u0000 and sales volume.","PeriodicalId":44050,"journal":{"name":"International Real Estate Review","volume":"30 1","pages":""},"PeriodicalIF":0.7,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82078687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}