Subject ▸ Learning

Loss Aversion and Learning to Bid

Bidding challenges learning theories. Even with the same bid, experiences vary stochastically: the same choice can result in either a gain or a loss. In such an environment, the question arises of how the nearly universally documented phenomenon of loss aversion affects the adaptive dynamics. We analyse the impact of loss aversion in a simple auction using the experienced-weighted attraction model of learning. Our experimental results suggest that individual learning dynamics are highly heterogeneous and affected by loss aversion to different degrees.

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