Cluster Detection in Laboratory Auction Data: A Model-Based Approach
AbstractThe benchmark risk-averse equilibrium model does not explain some of the outcomes obtained in experiments with first-price auctions. Nonetheless, the presence of non-linear bidding and the wide dispersion of bids have received little attention in the literature. I focus on these issues and revisit previous laboratory evidence with the help of model-based clustering techniques. The rejection of equilibrium models is found to be mostly due to the significance of non-linear bidding rules and the unexplained heterogeneity. With the use of a mixture model, the observations are classified into four groups or clusters. Significant differences between individuals and clusters are found, but so is a persistent within individual variation, which leads us to conclude that subjects do not commit to one particular bidding strategy and alternate across several processes.
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Bibliographic InfoArticle provided by Savez ekonomista Vojvodine, Novi Sad, Serbia in its journal Panoeconomicus.
Volume (Year): 58 (2011)
Issue (Month): 4 (December)
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Web page: http://www.panoeconomicus.rs/
Clustering; Experimental Auctions; Non-linear bidding.;
Find related papers by JEL classification:
- C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
- D44 - Microeconomics - - Market Structure and Pricing - - - Auctions
- D03 - Microeconomics - - General - - - Behavioral Economics; Underlying Principles
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