Towards machine learning for moral choice analysis in health economics: A literature review and research agenda

Nicholas V.R. Smeele, Caspar G. Chorus, Maartje H.N. Schermer and Esther W. de Bekker-Grob

Social Science & Medicine, 2023, vol. 326, issue C

Abstract: Discrete choice models (DCMs) for moral choice analysis will likely lead to erroneous model outcomes and misguided policy recommendations, as only some characteristics of moral decision-making are considered. Machine learning (ML) is recently gaining interest in the field of discrete choice modelling. This paper explores the potential of combining DCMs and ML to study moral decision-making more accurately and better inform policy decisions in healthcare.

Keywords: Discrete choice models; Machine learning; Moral decision-making; Moral preferences; Health preference research; Literature review; Research agenda (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1016/j.socscimed.2023.115910

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