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Dissecting Discrimination : Identifying Its Various Faces and Their Sources

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This Open-Access-book examines the phenomenon of discrimination using a descriptive approach. Discrimination is omnipresent, whether it is people who discriminate against other people or, more recently, also machines that discriminate against people. The first part of the analysis employs decision theory on discrimination, leading to two fundamental subtypes: taste-based discrimination and statistical discrimination. The second part links taste-based discrimination to social identity theory, demonstrates that not all taste-based discrimination is ultimately statistical discrimination, and reveals the evolutionary origins of our tastes. The third part surveys how people get their beliefs for statistical discrimination and thereby shows that they often deviate from Bayesianism: they have inherent prior beliefs and do not exclusively update their beliefs according to Bayes’ law. Additionally, the analysis of belief formation highlights the importance of the learning environment. Thelast part reassembles the previously dissected aspects of discrimination, presents a new descriptive model of discrimination, and lists five implications for a normative theory of discrimination.

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Availability

Detail Information

Series Title

Entscheidungs- und Organisationstheorie (EOT)

Call Number

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Publisher

Wiesbaden : Springer Gabler Wiesbaden., 2021

Collation

XI, 234

Language

English

ISBN/ISSN

978-3-658-34569-3

Classification

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Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

Business Ethics

Specific Detail Info

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Statement of Responsibility

Daniel Villiger

Other Information

Cataloger

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Source

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Validator

Maya

Digital Object Identifier (DOI)

https://doi.org/10.1007/978-3-658-34569-3

Journal Volume

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Journal Issue

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Subtitle

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Parallel Title

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