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Loss Aversion

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May 1, 2024 4 minute read

Loss aversion is a bias in human behavior that causes people to experience more pain from losses than they do pleasure from gains. This means that people are more motivated to avoid losses than they are to pursue gains. Loss aversion was first described by Amos Tversky and Daniel Kahneman in their 1979 paper, "Prospect Theory: An Analysis of Decision under Risk."

Applications of Loss Aversion

Loss aversion has been applied in a variety of fields, including economics, finance, marketing, and psychology. In economics, loss aversion has been used to explain why people are more likely to save money than they are to invest it. In finance, loss aversion has been used to explain why people are more likely to sell stocks when their prices are falling than they are to buy stocks when their prices are rising. In marketing, loss aversion has been used to explain why people are more likely to buy products when they are on sale than they are to buy them when they are not on sale. In psychology, loss aversion has been used to explain why people are more likely to experience negative emotions, such as fear and anger, when they lose something than they are to experience positive emotions, such as joy and happiness, when they gain something.

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Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Loss Aversion.
Provides a comprehensive analysis of loss aversion in the context of consumer behavior. The authors explore how loss aversion affects product choice, brand loyalty, and other consumer decisions. is essential reading for anyone interested in marketing, advertising, or consumer research.
Examines loss aversion in the context of financial decision making, discussing how it can lead to biases and suboptimal investment choices. The authors offer practical advice for investors and policymakers on how to mitigate the effects of loss aversion.
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