Trading in Networks: A Normal Form Game Experiment
通过实验室实验研究不完全网络中的交易行为，发现定价行为会收敛到竞争均衡，但收敛速度受网络结构、定价规则和收益函数影响。
This paper reports an experimental study of trading networks. Networks are incomplete in the sense that each trader can only exchange assets with a limited number of other traders. The greater the incompleteness of the network, the more intermediation is required to transfer the assets between initial and final owners. The uncertainty of trade in networks constitutes a potentially important market friction. Nevertheless, we find the pricing behavior observed in the laboratory converges to competitive equilibrium behavior in a variety of treatments. However, the rate of convergence varies depending on the network, pricing rule, and payoff function.