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dc.contributor.authorHensher, David A.
dc.contributor.authorBeck, Matthew J.
dc.contributor.authorBalbontin, Camila
dc.date.accessioned2024-09-05T04:26:16Z
dc.date.available2024-09-05T04:26:16Z
dc.date.issued2024-09-05
dc.identifier.urihttps://hdl.handle.net/2123/33053
dc.description.abstractThe COVID-19 pandemic has had a significant impact on the world of work. With growing support and preference revelation from both employees and employers, we might anticipate a settling in of working from home around one to two days a week, varying by occupation depending on the ability to work remotely. Although there are a growing number of studies that have analysed data collected at a point in time or over time during the pandemic, there is now sufficient time and data to treat the waves of collected data as a repeated cross section that is jointly modelled to assess systematically, the changing roles of various influences on the proportion of working days that are worked from home. This paper estimates random effects regression models for the Greater Sydney Metropolitan Area and South East Queensland over four waves of data collected in 2020 and 2021, where this last one represents a period with almost full vaccinations and minimum restrictions (i.e., ‘new normal’). By jointly estimating four waves of data within a single modelling framework, we are able to track the changing roles of the influences found to be statistically significant across the waves. The elasticity outputs reveal how these influences impact on the propensity to WFH, giving clues on whether we were starting to see a stabilisation of WFH activity mid-way in the pandemic period that can be reflective of a ‘new normal’. Results are very supportive of employees’ preferences, suggesting that those that feel the same or more productive when WFH relative to going to the office, are more likely to WFH relative to those that feel less productive.en_AU
dc.language.isoenen_AU
dc.rightsCopyright All Rights Reserveden_AU
dc.subjectCOVID-19en_AU
dc.subjectworking from homeen_AU
dc.subjectAustralian metropolitan experienceen_AU
dc.subjectfour wavesen_AU
dc.subjectelasticitiesen_AU
dc.subjectrandom effects regressionen_AU
dc.subjectnew normalen_AU
dc.titleCOVID-19 and its influence on the propensity to Work from Home between March 2020 and June 2021en_AU
dc.typeWorking Paperen_AU
dc.subject.asrcANZSRC FoR code::35 COMMERCE, MANAGEMENT, TOURISM AND SERVICES::3509 Transportation, logistics and supply chainsen_AU
usyd.facultySeS faculties schools::The University of Sydney Business School::Institute of Transport and Logistics Studies (ITLS)en_AU
workflow.metadata.onlyNoen_AU


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