Bidding challenges learning theories since experiences with the same bid vary stochastically:the same choice can result in either a gain or a loss. In such an environment thequestion arises how the nearly universally documented phenomenon of loss aversion affectsthe adaptive dynamics. We analyze...

Bidding challenges learning theories, since 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 how the nearly universally documented phenomenon of loss aversion affects the adaptive dynamics. We...

Theoretically and experimentally, we generalize the analysis of acquiring a company (Samuelson and Bazerman 1985) by allowing for competition of both, buyers and sellers. Naivety of both is related to the idea that higher prices exclude worse qualities. While competition of naive buyers...

Theoretically and experimentally, we generalize the analysis of acquiringa company (Samuelson and Bazerman 1985) by allowing for competition ofboth, buyers and sellers. Naivety of both is related to the idea that higherprices exclude worse qualities. While competition of naive buyers...

Theoretically and experimentally, we generalize the analysis of acquiring a company (Samuelson and Bazerman 1985) by allowing for competition of both, buyers and sellers. Naivety of both is related to the idea that higher prices exclude worse qualities. While competition of naive buyers...

Although one may hope to achieve equality of stated profits without enforcing it, one may not trust in such voluntary equality seeking and rather try to impose rules (of bidding) guaranteeing it. Our axiomatic approach is based on envy-free net trades according to bids which, together with the...

Bidding rules that guarantee procedural fairness may induce more equilibrium bidding and moderate other-regarding concerns. In our experiment, we assume commonly known true values and only two bidders to implement a best-case scenario for other-regarding concerns. The two-by-two factorial design...