{"title":"预测波兰住房价格趋势：在线社交参与 - 谷歌趋势","authors":"M. Bełej","doi":"10.2478/remav-2023-0032","DOIUrl":null,"url":null,"abstract":"Abstract Various research methods can be used to collect housing market data and predict housing prices. The online search activity of Internet users is a novel and highly interesting measure of social behavior. In the present study, dwelling prices in Poland were analyzed based on aggregate data from seven Polish cities relative to the number of online searches for the keyword dwelling tracked by Google Trends, as well as several classical macroeconomic indicators. The analysis involved a vector autoregressive (VAR) model and the Granger causality test. The results of the study suggest that the volume of online searches returned by Google Trends is an effective predictor of housing price dynamics, and that unemployment and economic growth are important additional variables.","PeriodicalId":37812,"journal":{"name":"Real Estate Management and Valuation","volume":" 4","pages":"73 - 87"},"PeriodicalIF":0.6000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Predicting Housing Price Trends in Poland: Online Social Engagement - Google Trends\",\"authors\":\"M. Bełej\",\"doi\":\"10.2478/remav-2023-0032\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Various research methods can be used to collect housing market data and predict housing prices. The online search activity of Internet users is a novel and highly interesting measure of social behavior. In the present study, dwelling prices in Poland were analyzed based on aggregate data from seven Polish cities relative to the number of online searches for the keyword dwelling tracked by Google Trends, as well as several classical macroeconomic indicators. The analysis involved a vector autoregressive (VAR) model and the Granger causality test. The results of the study suggest that the volume of online searches returned by Google Trends is an effective predictor of housing price dynamics, and that unemployment and economic growth are important additional variables.\",\"PeriodicalId\":37812,\"journal\":{\"name\":\"Real Estate Management and Valuation\",\"volume\":\" 4\",\"pages\":\"73 - 87\"},\"PeriodicalIF\":0.6000,\"publicationDate\":\"2023-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Real Estate Management and Valuation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2478/remav-2023-0032\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"BUSINESS, FINANCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Real Estate Management and Valuation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/remav-2023-0032","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
Predicting Housing Price Trends in Poland: Online Social Engagement - Google Trends
Abstract Various research methods can be used to collect housing market data and predict housing prices. The online search activity of Internet users is a novel and highly interesting measure of social behavior. In the present study, dwelling prices in Poland were analyzed based on aggregate data from seven Polish cities relative to the number of online searches for the keyword dwelling tracked by Google Trends, as well as several classical macroeconomic indicators. The analysis involved a vector autoregressive (VAR) model and the Granger causality test. The results of the study suggest that the volume of online searches returned by Google Trends is an effective predictor of housing price dynamics, and that unemployment and economic growth are important additional variables.
期刊介绍：
Real Estate Management and Valuation (REMV) is a journal that publishes new theoretical and practical insights that improve our understanding in the field of real estate valuation, analysis and property management. The aim of the Polish Real Estate Scientific Society (Towarzystwo Naukowe Nieruchomości) is developing and disseminating knowledge about land management and the methods, techniques and principles of real estate valuation and the popularization of scientific achievements in this field, as well as their practical applications in the activities of economic entities.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
