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Loss aversion, the endowment effect, and gain-loss framing shape preferences for noninstrumental information
Yana Litovsky1, George Loewenstein2, Samantha Horn2
1Department of Banking and Finance, University of Innsbruck, Innsbruck, Austria, 6020.
People value information similarly to physical goods, exhibiting loss aversion and endowment effects. This suggests why individuals resist changing their beliefs, even when information lacks material worth.
Area of Science:
- Behavioral Economics
- Information Science
- Cognitive Psychology
Background:
- The valuation of material goods and money is well-researched, yet its application to information valuation is limited.
- Common language metaphors suggest information is treated like a physical possession, but empirical evidence is scarce.
Purpose of the Study:
- To investigate whether fundamental principles of economic valuation, such as loss aversion and framing effects from Prospect Theory, apply to non-instrumental information.
- To establish a theoretical analogy between the valuation of information and material objects.
Main Methods:
- Study 1: Examined loss aversion by framing information gambles as losses versus gains.
- Study 2: Tested the endowment effect for non-instrumental information.
- Study 3: Replicated gain-loss framing effects using factual information, analogous to the "Asian Disease" problem.
Main Results:
- Loss aversion was demonstrated, with participants less willing to gamble when information loss was framed as a loss.
- The endowment effect was observed, increasing information value simply through ownership.
- Gain-loss framing effects were confirmed for non-instrumental information, mirroring patterns seen with monetary or life-affecting outcomes.
Conclusions:
- Non-instrumental information valuation shares key characteristics with the valuation of material goods, including loss aversion and endowment effects.
- These findings provide insights into why individuals often resist changing their beliefs, framing them as losses.
- The study builds a theoretical bridge between information and object valuation, highlighting cognitive biases in information processing.
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