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Stated choice analysis of preferences for COVID-19 vaccines using the Choquet integral

We investigate preferences for COVID-19 vaccines using data from a stated choice survey conducted in the US in March 2021. To analyse the data, we embed the Choquet integral, a flexible aggregation operator for capturing attribute interactions under monotonicity constraints, into a mixed logit model...

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Detalles Bibliográficos
Autores principales: Krueger, Rico, Daziano, Ricardo A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9482822/
https://www.ncbi.nlm.nih.gov/pubmed/36159713
http://dx.doi.org/10.1016/j.jocm.2022.100385
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author Krueger, Rico
Daziano, Ricardo A.
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Daziano, Ricardo A.
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description We investigate preferences for COVID-19 vaccines using data from a stated choice survey conducted in the US in March 2021. To analyse the data, we embed the Choquet integral, a flexible aggregation operator for capturing attribute interactions under monotonicity constraints, into a mixed logit model. We find that effectiveness is the most important vaccine attribute, followed by risk of severe side effects and protection period. The attribute interactions reveal that non-pecuniary vaccine attributes are synergistic. Out-of-pocket costs are independent of effectiveness, incubation period, and mild side effects but exhibit moderate synergistic interactions with other attributes. Vaccine adoption is significantly more likely among individuals who identify as male, have obtained a bachelor’s degree or a higher level of education, have a high household income, support the democratic party, had COVID-19, got vaccinated against the flu in winter 2020/21, and have an underlying health condition.
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spelling pubmed-94828222022-09-19 Stated choice analysis of preferences for COVID-19 vaccines using the Choquet integral Krueger, Rico Daziano, Ricardo A. J Choice Model Article We investigate preferences for COVID-19 vaccines using data from a stated choice survey conducted in the US in March 2021. To analyse the data, we embed the Choquet integral, a flexible aggregation operator for capturing attribute interactions under monotonicity constraints, into a mixed logit model. We find that effectiveness is the most important vaccine attribute, followed by risk of severe side effects and protection period. The attribute interactions reveal that non-pecuniary vaccine attributes are synergistic. Out-of-pocket costs are independent of effectiveness, incubation period, and mild side effects but exhibit moderate synergistic interactions with other attributes. Vaccine adoption is significantly more likely among individuals who identify as male, have obtained a bachelor’s degree or a higher level of education, have a high household income, support the democratic party, had COVID-19, got vaccinated against the flu in winter 2020/21, and have an underlying health condition. The Author(s). Published by Elsevier Ltd. 2022-12 2022-09-19 /pmc/articles/PMC9482822/ /pubmed/36159713 http://dx.doi.org/10.1016/j.jocm.2022.100385 Text en © 2022 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Krueger, Rico
Daziano, Ricardo A.
Stated choice analysis of preferences for COVID-19 vaccines using the Choquet integral
title Stated choice analysis of preferences for COVID-19 vaccines using the Choquet integral
title_full Stated choice analysis of preferences for COVID-19 vaccines using the Choquet integral
title_fullStr Stated choice analysis of preferences for COVID-19 vaccines using the Choquet integral
title_full_unstemmed Stated choice analysis of preferences for COVID-19 vaccines using the Choquet integral
title_short Stated choice analysis of preferences for COVID-19 vaccines using the Choquet integral
title_sort stated choice analysis of preferences for covid-19 vaccines using the choquet integral
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9482822/
https://www.ncbi.nlm.nih.gov/pubmed/36159713
http://dx.doi.org/10.1016/j.jocm.2022.100385
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