Covid-19 impact on US housing markets: Evidence from spatial regression models

Simple item page
dc.contributor.authorLee, Jim
dc.contributor.authorHuang, Yuxia
dc.creator.orcidhttps://orcid.org/0000-0002-9830-3012en_US
dc.creator.orcidhttps://orcid.org/0000-0002-8042-8992en_US
dc.date.accessioned2022-04-11T14:58:03Z
dc.date.available2022-04-11T14:58:03Z
dc.date.issued1/10/2022
dc.description.abstractThis paper empirically investigates the conventional wisdom that urban residents have reacted to the Covid-19 pandemic by fleeing city centres for the suburbs. A conventional panel model of US ZIP code-level data provides mixed evidence in support of a shifting housing preference for more space or neighbourhoods farther from the urban core. Regressions accounting for spatial dependence and spatial heterogeneity show strong support of an urban flight within metro areas, but this local phenomenon is uneven across broad regions of the United States. The finding of geographical disparity underscores both the local as well as the regional nature of housing market conditions.en_US
dc.identifier.citationLee, J. and Huang, Y., 2022. Covid-19 impact on US housing markets: evidence from spatial regression models. Spatial Economic Analysis, pp.1-21.en_US
dc.identifier.doihttps://doi.org/10.1080/17421772.2021.2018028
dc.identifier.urihttps://hdl.handle.net/1969.6/90420
dc.language.isoen_USen_US
dc.publisherTaylor and Francis Onlineen_US
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjecthousing marketsen_US
dc.subjectspatial dependenceen_US
dc.subjectspatial heterogeneityen_US
dc.subjectspatial autoregressionen_US
dc.subjectgeographically weighted regressionen_US
dc.titleCovid-19 impact on US housing markets: Evidence from spatial regression modelsen_US
dc.typeArticleen_US

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Lee_Jim_SpatialEconomicAnalysis.pdf
Size:
1.63 MB
Format:
Adobe Portable Document Format
Description:
Article
Download

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.72 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

COB Faculty Works