Does telecommuting influence homeownership and housing choice? Evidence based on pre-pandemic data

Bibliographic Data

ID6427655
AuthorsPengyu Zhu (0000-0002-0892-3606, Hong Kong University of Science and Technology, corresponding author), Yuqing Guo (0000-0003-2683-5260, Hong Kong University of Science and Technology), Praveen Maghelal (0000-0003-0324-9955, Rabdan Academy)
Year2023
Volume40
Issue3
Pages610-647
Publication date2023-11-12
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueHousing Studies (JOURNAL)
Journal identifiersISSN: 0267-3037 • E-ISSN: 1466-1810
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/02673037.2023.2277769
OpenAlexW4388635025
LanguageEN
Citations received5
References cited48

Telecommuting has become widespread during the pandemic and are expected to become mainstream work culture in the post-pandemic era. By applying a three-step Instrumental Variable analysis to the 2009 and 2017 U.S. National Household Travel Surveys, this study analyzes the impact of telecommuting on homeownership and housing type choices. Results show that, households with telecommuters are more likely to be homeowners and to live in detached or duplex houses compared to their counterparts. These effects are especially prominent for middle-aged (30-55) households. Relying on robust and national representative historical data before the COVID-19 pandemic, this study provides convincing evidence on how telecommuting affects people's housing decisions and thus has important implications for understanding the fast-evolving housing markets in the post-pandemic era when a growing number of telecommuters look for homeownership and extract spaces to accommodate home office. It will provide important guidance for revisiting existing housing policies for both urban and rural policymakers to meet the new demand and preferences

Business · Coronavirus disease 2019 (COVID-19 · Demographic economics · Economic growth · Economics · Labour economics · Mainstream · Pandemic · Political science · Telecommuting · Work (physics · Housing Market and Economics · Smart Parking Systems Research · Urban Transport and Accessibility

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