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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Format: | Article |
Language: | English |
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Sciendo
2022-12-01
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Series: | Real Estate Management and Valuation |
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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. |
first_indexed | 2024-04-10T21:29:34Z |
format | Article |
id | doaj.art-7478c0f7873940cdba9eda098803faf0 |
institution | Directory Open Access Journal |
issn | 2300-5289 |
language | English |
last_indexed | 2024-04-10T21:29:34Z |
publishDate | 2022-12-01 |
publisher | Sciendo |
record_format | Article |
series | Real Estate Management and Valuation |
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 |