COVID-19感染与网络住房搜索的关系分析

IF 0.6 Q4 BUSINESS, FINANCE Real Estate Management and Valuation Pub Date : 2022-12-01 DOI:10.2478/remav-2022-0031

M. Bełej

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引用次数: 0

摘要

本研究使用谷歌搜索查询波罗的海地区几个国家的房地产兴趣数据。将公众对住房兴趣的动态与立陶宛、拉脱维亚、波兰和瑞典的COVID-19感染动态进行了比较。本研究采用向量自回归(VAR)模型对这类时间序列进行预测。VAR是一种多元线性时间序列模型，其中系统中的内生变量是所有内生变量值的滞后函数。COVID-19感染人数的增加对社会对住房的兴趣产生了负面影响。这项研究使用了谷歌Trends和R软件。

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Analysis of the Relationship Between COVID-19 Infections and Web-Based Housing Searches

Abstract The study used Google search query data on real estate interest for several countries in the Baltic area. The dynamics of public interest in housing have been compared to the dynamics of the COVID-19 infections in Lithuania, Latvia, Poland, and Sweden. This study uses the Vector autoregressive (VAR) model to forecast such time series. VAR is a multivariate linear time series model in which the endogenous variables in the system are lagged functions of the values of all endogenous variables. The increase in COVID-19 infections negatively affected society’s interest in housing. The study used Google Trends and R software.

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来源期刊

Real Estate Management and Valuation Economics, Econometrics and Finance-Finance

CiteScore

1.50

自引率

25.00%

发文量

审稿时长

23 weeks

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.