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Loss aversion and learning to bid

Dennis Dittrich, Werner Güth (), Martin Kocher and Paul Pezanis-Christou

Papers on Strategic Interaction from Max Planck Institute of Economics, Strategic Interaction Group

Abstract: Bidding challenges learning theories since experiences for the same bid vary stochastically: the same choice can result in a gain or a loss. In such an environment the question arises how the nearly universally documented phenomenon of loss aversion affects the adaptive dynamics. We analyze the impact of loss aversion in a simple auction for different learning theories. Our experimental results suggest that a version of reinforcement learning which accounts for loss aversion fares as well as more sophisticated alternatives.

Keywords: loss aversion; bidding; auction; experiment; learning (search for similar items in EconPapers)
Pages: 52 pages
New Economics Papers: this item is included in nep-exp
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Citations: View citations in EconPapers (7)

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Related works:
Journal Article: Loss Aversion and Learning to Bid (2012) Downloads
Working Paper: Loss aversion and learning to bid (2012)
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