Australian community preferences for hotel quarantine options within the Logit Mixed Logit Model framework

Andrea Pellegrini, Antonio Borriello and John M. Rose

Journal of choice modelling, 2024, vol. 50, issue C

Abstract: In response to the Covid-19 pandemic, many countries have adopted measures to contain the spread of the virus, including mandatory quarantine for inbound travellers. This research investigates the preferences of residents of New South Wales, Australia, towards the mandatory quarantine protocol adopted in the state. Heterogeneity in individual preferences is explored by advancing the Logit Mixed Logit (LML) model defined by Train (2016). Two approaches are suggested to decompose individual heterogeneity in this framework and are applied to data collected via a stated preference experiment. The empirical findings demonstrate that on average, the community prefers returned travellers be quarantined in dedicated quarantine facilities rather than be quarantined at home or using hotels, but are mostly indifferent to how long travellers are quarantined for, and how many travellers are allowed to return to Australia. The sample do however have a preference, on average for travellers having to pay less to quarantine, meaning they wish to see greater government subsidies. However, the modelling approach demonstrates that the common use of averages potentially masks diverse preferences, and is not representative of community wants and desires, thus possibly leading to incorrect inferences about policy impacts.

Keywords: Community preferences; Hotel quarantine; Logit Mixed Logit Model; Non-parametric distributions; Interaction effects; Preference decomposition (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:eejocm:v:50:y:2024:i:c:s175553452400006x

DOI: 10.1016/j.jocm.2024.100473

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