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oapen-20.500.12657-507312021-10-06T02:44:23Z Dissecting Discrimination Villiger, Daniel Bayesianism intergroup behaviour parochial altruism statistical discrimination taste-based discrimination Open Access bic Book Industry Communication::K Economics, finance, business & management::KJ Business & management::KJG Business ethics & social responsibility 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. The last 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. 2021-10-05T14:06:22Z 2021-10-05T14:06:22Z 2022 book ONIX_20211005_9783658345693_22 9783658345693 https://library.oapen.org/handle/20.500.12657/50731 eng Entscheidungs- und Organisationstheorie application/pdf n/a 978-3-658-34569-3.pdf https://www.springer.com/9783030806583 Springer Nature Springer Gabler 10.1007/978-3-658-34569-3 10.1007/978-3-658-34569-3 6c6992af-b843-4f46-859c-f6e9998e40d5 07f61e34-5b96-49f0-9860-c87dd8228f26 9783658345693 Swiss National Science Foundation (SNF) Springer Gabler 234 [grantnumber unknown] Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung Swiss National Science Foundation open access
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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. The last 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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