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dc.identifier.uri http://dx.doi.org/10.15488/17611
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/17742
dc.contributor.author van Basshuysen, Philippe
dc.date.accessioned 2024-06-27T12:36:29Z
dc.date.available 2024-06-27T12:36:29Z
dc.date.issued 2022
dc.identifier.citation Van Basshuysen, P.: Markets, market algorithms, and algorithmic bias. In: Journal of Economic Methodology 30 (2023), Nr. 4, INEM 2021 Conference Special Issue, S. 310-321. DOI: https://doi.org/10.1080/1350178X.2022.2100919
dc.description.abstract Where economists previously viewed the market as arising from a ‘spontaneous order’, antithetical to design, they now design markets to achieve specific purposes. This paper reconstructs how this change in what markets are and can do came about and considers some consequences. Two decisive developments in economic theory are identified: first, Hurwicz’s view of institutions as mechanisms, which should be designed to align incentives with social goals; and second, the notion of marketplaces–consisting of infrastructure and algorithms–which should be designed to exhibit stable properties. These developments have empowered economists to create marketplaces for specific purposes, by designing appropriate algorithms. I argue that this power to create marketplaces requires a shift in ethical reasoning, from whether markets should reach into certain spheres of life, to how market algorithms should be designed. I exemplify this shift, focusing on bias, and arguing that transparency should become a goal of market design. eng
dc.language.iso eng
dc.publisher London : Routledge
dc.relation.ispartofseries Journal of Economic Methodology 30 (2023), Nr. 4, INEM 2021 Conference Special Issue
dc.rights CC BY-NC-ND 4.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0
dc.subject algorithms eng
dc.subject bias eng
dc.subject market design eng
dc.subject Markets eng
dc.subject transparency eng
dc.subject.classification Konferenzschrift ger
dc.subject.ddc 330 | Wirtschaft
dc.title Markets, market algorithms, and algorithmic bias eng
dc.type Article
dc.type Text
dc.relation.essn 1469-9427
dc.relation.issn 1350-178X
dc.relation.doi https://doi.org/10.1080/1350178x.2022.2100919
dc.bibliographicCitation.issue 4
dc.bibliographicCitation.volume 30
dc.bibliographicCitation.date 2023
dc.bibliographicCitation.firstPage 310
dc.bibliographicCitation.lastPage 321
dc.description.version publishedVersion eng
tib.accessRights frei zug�nglich


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