首页    期刊浏览 2024年11月07日 星期四
登录注册

文章基本信息

  • 标题:Cluster detection in laboratory auction data: A model-based approach
  • 本地全文:下载
  • 作者:Romeu Andrés
  • 期刊名称:Panoeconomicus
  • 印刷版ISSN:1452-595X
  • 出版年度:2011
  • 卷号:58
  • 期号:4
  • 页码:473-488
  • DOI:10.2298/PAN1104473R
  • 出版社:Savez ekonomista Vojvodine
  • 摘要:

    The 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.

  • 关键词:clustering; experimental auctions; non-linear bidding
国家哲学社会科学文献中心版权所有