Learning to bid - an experimental study of bid function adjustments in auctions and fair division games
We examine learning behaviour in auction and fair division experiments with independent private values under two different price rules, first and second price. Participants play all four games repeatedly and submit complete bid functions rather than single bids. This allows us to study how institutional changes are anticipated and whether learning is influenced by the structural differences between games. We find that learning does not drive bidding towards the benchmark solution. Bid functions are adjusted globally rather than locally. Directional learning theory offers a partial explanation for bid changes. The data support a cognitive approach to learning. Copyright 2003 Royal Economic Society.
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Volume (Year): 113 (2003)
Issue (Month): 487 (04)
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- Abbink, Klaus & Gary Bolton & Abdolkarim Sadrieh & Fang-Fang Tang, 1996.
"Adaptive Learning versus Punishment in Ultimatum Bargaining,"
Discussion Paper Serie B
381, University of Bonn, Germany.
- Abbink, Klaus & Bolton, Gary E. & Sadrieh, Abdolkarim & Tang, Fang-Fang, 2001. "Adaptive Learning versus Punishment in Ultimatum Bargaining," Games and Economic Behavior, Elsevier, vol. 37(1), pages 1-25, October.
- Roth, Alvin E. & Erev, Ido, 1995. "Learning in extensive-form games: Experimental data and simple dynamic models in the intermediate term," Games and Economic Behavior, Elsevier, vol. 8(1), pages 164-212.
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