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Belief distributions and the measure of social norms
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Date
2023-07-31
Authors
Wang, Cuizhu
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Publisher
Routledge - Taylor & Francis Group
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Abstract
This chapter has the goal of advocating for the Quadratic Scoring Rule as the indispensable tool in the operationalization of one of the most popular concepts of social norms in the literature. Section 1 reviews the concept of social norms developed by Bicchieri (2006, 2017) and argues that this theory offers an operational definition of social norms which focuses on beliefs (expectations) and preferences and allows for the possibility of their empirical investigation. Section 2 introduces the well-known Intentional Stance and Revealed Preference Theory as the best interpretive framework for the intentional concepts applied in Bicchieri’s conceptual analysis of social norms. On the basis of limitations arising from experimental work operating Bicchieri’s theory, section 3 introduces and defends the Quadratic Scoring Rule (QSR) for eliciting subjective belief distributions. Three different types of arguments are given to support the suitability of this method in the measuring of social norms.
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Keywords
Social norms , Belief distribution elicitation , Intentional stance , Revealed Preference Theory , Quadratic Scoring Rule , Savage
Citation
Wang, C. (2023) 'Belief distributions and the measure of social norms', in Viciana, H., Gaitán, A. and Aguiar, F. (eds.) Experiments in Moral and Political Philosophy, pp. 125-143. Abingdon-on-Thames, Oxfordshire, England: Routledge. doi: 10.4324/9781003301424-8
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Copyright
© 2023, the Author. All rights reserved. This is an Accepted Manuscript of a book chapter published by Routledge in Viciana, H., Gaitán, A. and Aguiar, F. (eds.) Experiments in Moral and Political Philosophy. Available online: https://doi.org/10.4324/9781003301424-8