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COVID-19 and housing prices: evidence from U.S. county-level data

This paper investigates the effects of coronavirus disease 2019 (COVID-19) on housing prices at the U.S. county level. The effects of COVID-19 cases on housing prices are formally investigated by using a two-way fixed effects panel regression, where county-specific factors, time-specific factors, an...

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Autor principal: Yilmazkuday, Hakan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10209946/
https://www.ncbi.nlm.nih.gov/pubmed/37363436
http://dx.doi.org/10.1007/s10037-023-00187-4
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author Yilmazkuday, Hakan
author_facet Yilmazkuday, Hakan
author_sort Yilmazkuday, Hakan
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description This paper investigates the effects of coronavirus disease 2019 (COVID-19) on housing prices at the U.S. county level. The effects of COVID-19 cases on housing prices are formally investigated by using a two-way fixed effects panel regression, where county-specific factors, time-specific factors, and mobility measures of individuals are controlled for. The benchmark results show evidence for negative and significant effects of COVID-19 cases on housing prices, robust to the consideration of several permutation tests, where the negative effects are more evident in counties with higher poverty rates. Exclusion tests further suggest that U.S. counties in the state of California or the month of May 2020 are more responsible for the empirical results, although the results based on other counties and months are still in line with the benchmark results.
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spelling pubmed-102099462023-05-26 COVID-19 and housing prices: evidence from U.S. county-level data Yilmazkuday, Hakan Jahrb Reg Wiss Original Paper This paper investigates the effects of coronavirus disease 2019 (COVID-19) on housing prices at the U.S. county level. The effects of COVID-19 cases on housing prices are formally investigated by using a two-way fixed effects panel regression, where county-specific factors, time-specific factors, and mobility measures of individuals are controlled for. The benchmark results show evidence for negative and significant effects of COVID-19 cases on housing prices, robust to the consideration of several permutation tests, where the negative effects are more evident in counties with higher poverty rates. Exclusion tests further suggest that U.S. counties in the state of California or the month of May 2020 are more responsible for the empirical results, although the results based on other counties and months are still in line with the benchmark results. Springer Berlin Heidelberg 2023-05-25 /pmc/articles/PMC10209946/ /pubmed/37363436 http://dx.doi.org/10.1007/s10037-023-00187-4 Text en © Springer-Verlag GmbH Germany, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Paper
Yilmazkuday, Hakan
COVID-19 and housing prices: evidence from U.S. county-level data
title COVID-19 and housing prices: evidence from U.S. county-level data
title_full COVID-19 and housing prices: evidence from U.S. county-level data
title_fullStr COVID-19 and housing prices: evidence from U.S. county-level data
title_full_unstemmed COVID-19 and housing prices: evidence from U.S. county-level data
title_short COVID-19 and housing prices: evidence from U.S. county-level data
title_sort covid-19 and housing prices: evidence from u.s. county-level data
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10209946/
https://www.ncbi.nlm.nih.gov/pubmed/37363436
http://dx.doi.org/10.1007/s10037-023-00187-4
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