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      The Behavioural Economics of Music: Systematic review and future directions

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          Abstract

          Music-related decision-making encompasses a wide range of behaviours including those associated with listening choices, composition and performance, and decisions involving music education and therapy. Although research programmes in psychology and economics have contributed to an improved understanding of music-related behaviour, historically, these disciplines have been unconnected. Recently, however, researchers have begun to bridge this gap by employing tools from behavioural economics. This article contributes to the literature by providing a discussion about the benefits of using behavioural economics in music-decision research. We achieve this in two ways. First, through a systematic review, we identify the current state of the literature within four key areas of behavioural economics—heuristics and biases, social decision-making, behavioural time preferences, and dual-process theory. Second, taking findings of the literature as a starting point, we demonstrate how behavioural economics can inform future research. Based on this, we propose the Behavioural Economics of Music (BEM), an integrated research programme that aims to break new ground by stimulating interdisciplinary research in the intersection between music, psychology, and economics.

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          Most cited references141

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          Prospect Theory: An Analysis of Decision under Risk

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            Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

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              Judgment under Uncertainty: Heuristics and Biases.

              This article described three heuristics that are employed in making judgements under uncertainty: (i) representativeness, which is usually employed when people are asked to judge the probability that an object or event A belongs to class or process B; (ii) availability of instances or scenarios, which is often employed when people are asked to assess the frequency of a class or the plausibility of a particular development; and (iii) adjustment from an anchor, which is usually employed in numerical prediction when a relevant value is available. These heuristics are highly economical and usually effective, but they lead to systematic and predictable errors. A better understanding of these heuristics and of the biases to which they lead could improve judgements and decisions in situations of uncertainty.
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                Author and article information

                Journal
                Q J Exp Psychol (Hove)
                Q J Exp Psychol (Hove)
                QJP
                spqjp
                Quarterly Journal of Experimental Psychology (2006)
                SAGE Publications (Sage UK: London, England )
                1747-0218
                1747-0226
                16 August 2022
                May 2023
                : 76
                : 5
                : 1177-1194
                Affiliations
                [1 ]Audio Communication Group, Technische Universität Berlin, Berlin, Germany
                [2 ]Computational Auditory Perception Group, Max Planck Institute for Empirical Aesthetics, Frankfurt am Main, Germany
                [3 ]Department of Economics, School of Social Sciences, The University of Manchester, Manchester, UK
                [4 ]Hochschule Düsseldorf, University of Applied Sciences, Düsseldorf, Germany
                [5 ]School of Population Health, Curtin University, Perth, WA, Australia
                [6 ]Department of Psychology, Goldsmiths, University of London, London, UK
                [7 ]Hanover University of Music, Drama and Media, Hanover, Germany
                Author notes
                [*]Manuel Anglada-Tort, Computational Auditory Perception Group, Max Planck Institute for Empirical Aesthetics, Grüneburgweg 14, 60322 Frankfurt am Main, Germany. Email: manuel.anglada-tort@ 123456ae.mpg.de
                [*]Nikhil Masters, Department of Economics, School of Social Sciences, The University of Manchester, Arthur Lewis Building, Manchester M13 9PL, UK. Email: nikhil.masters@ 123456manchester.ac.uk
                [*]

                The authors contributed equally to this work.

                Author information
                https://orcid.org/0000-0003-3421-9361
                https://orcid.org/0000-0003-2171-3491
                Article
                10.1177_17470218221113761
                10.1177/17470218221113761
                10119905
                35786153
                73e9a24d-c8ed-48af-a0ba-5bd0bfb3cb4e
                © Experimental Psychology Society 2022

                This article is distributed under the terms of the Creative Commons Attribution 4.0 License ( https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

                History
                : 25 June 2021
                : 8 February 2022
                : 24 May 2022
                Categories
                Original Articles
                Custom metadata
                ts1

                Clinical Psychology & Psychiatry
                behavioural economics,music,decision-making,systematic review,interdisciplinary research

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