Learning from peers in signaling game experiments
基于Milgrom和Roberts的进入限制定价博弈实验，研究了同伴群体效应，通过引入时间滞后的社会互动扩展了动态离散选择面板数据模型，发现被试决策受同伴过去决策显著影响。
SUMMARY We investigate peer group effects in laboratory experiments based on Milgrom and Roberts' (1982, Econometrica 50 : 443–459) entry limit pricing game. We generalize Heckman's (1981, in Structural Analysis of Discrete Data with Econometric Applications . MIT Press: Cambridge, MA) dynamic discrete‐choice panel data models by introducing time‐lagged social interactions, using the unbiased GHK simulator to implement the computationally cumbersome maximum likelihood estimation. We find that subjects' decisions are significantly influenced by past decisions of peers on several dimensions, including potential entrants' choices and strategic play of like‐type monopolists. The proposed model and estimation method may be applicable to other experiments where peer group effects are likely to play an important role. Copyright © 2011 John Wiley & Sons, Ltd.