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

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)...

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Main Author: Bełej Mirosław
Format: Article
Language:English
Published: Sciendo 2022-12-01
Series:Real Estate Management and Valuation
Subjects:
Online Access:https://doi.org/10.2478/remav-2022-0031
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author Bełej Mirosław
author_facet Bełej Mirosław
author_sort Bełej Mirosław
collection DOAJ
description 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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spelling doaj.art-7478c0f7873940cdba9eda098803faf02023-01-19T13:51:14ZengSciendoReal Estate Management and Valuation2300-52892022-12-013048910210.2478/remav-2022-0031Analysis of the Relationship Between COVID-19 Infections and Web-Based Housing SearchesBełej Mirosław0Departament of Spatial Analysis and Real Estate Market, University of Warmia and Mazury in Olsztyn, PolandThe 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.https://doi.org/10.2478/remav-2022-0031google trendsvector autoregressive modelhousing marketd01l85
spellingShingle Bełej Mirosław
Analysis of the Relationship Between COVID-19 Infections and Web-Based Housing Searches
Real Estate Management and Valuation
google trends
vector autoregressive model
housing market
d01
l85
title Analysis of the Relationship Between COVID-19 Infections and Web-Based Housing Searches
title_full Analysis of the Relationship Between COVID-19 Infections and Web-Based Housing Searches
title_fullStr Analysis of the Relationship Between COVID-19 Infections and Web-Based Housing Searches
title_full_unstemmed Analysis of the Relationship Between COVID-19 Infections and Web-Based Housing Searches
title_short Analysis of the Relationship Between COVID-19 Infections and Web-Based Housing Searches
title_sort analysis of the relationship between covid 19 infections and web based housing searches
topic google trends
vector autoregressive model
housing market
d01
l85
url https://doi.org/10.2478/remav-2022-0031
work_keys_str_mv AT bełejmirosław analysisoftherelationshipbetweencovid19infectionsandwebbasedhousingsearches