A New Approach to Behavioral Economics: How to Take Language Preferences into Account in Everyday Conversations
1. Kalpna Reddy, Sardar Patel University, Anand, Student, India
2. Jivraj Mehta, Sardar Patel University, Anand, Professor, India
This paper explores the integration of social and moral preferences in economic decision-making, highlighting the significance of fairness and ethical considerations. Models like Fehr and Schmidt's inequity phobia (1999) and Bolton and Ockenfels' ERC (2000) demonstrate that people value relative distribution and fair treatment. Additionally, moral preferences, influenced by strong ethical principles, can lead individuals to act against their financial interests, as seen in deontological ethics (Kant, 1785). The impact of language on behavior is also examined, with framing and metaphors playing crucial roles in shaping perceptions and actions. Liberman et al. (2004) provide evidence that linguistic framing affects cooperation. This paradigm shift in behavioral economics emphasizes the need for new models and experimental setups that consider language's influence on preferences and decision-making, aiming for a more holistic understanding of human behavior in economic contexts.
Behavioral Economics Social Preferences Moral Preferences Normal-Form Games Language-Based Preferences Paradigm Shift Experimental Economics
A significant shift is about to occur in behavioral economics. Unlike conventional economic models, this one considers the influence of language selection on decision-making in social relationships. To completely comprehend the complex ways language influences human behavior, new methods of theory and experimentation are required due to this paradigm shift. Incorporating social, moral, and linguistic aspects will lead to a more complete and realistic representation of how individuals act in economic settings as academics delve further into this study area.
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The author handled all aspects of the study, including its design, data collection, analysis, and manuscript preparation.
This work did not receive any specific grant from funding agencies in the public, commercial, or non-profit sectors for its research, authorship, or publication.
This study does not pertain to any software or tools usage.
The authors state that they have no conflicts of interest regarding this article.
I am grateful for the expertise and help provided by all who contributed to this study and manuscript, and for the comments from anonymous reviewers.
This article does not involve the sharing of data.