Bounding preference parameters under different assumptions about beliefs: a partial identification approach
研究了在投资游戏中，基于不同层次的信念假设如何估计偏好参数的边界，并与使用非激励主观信念数据得到的点估计进行对比，发现点估计落在最合理的边界内，表明非激励信念可用于可信推断。
Abstract We show how bounds around preferences parameters can be estimated under various levels of assumptions concerning the beliefs of senders in the investment game. We contrast these bounds with point estimates of the preference parameters obtained using non-incentivized subjective belief data. Our point estimates suggest that expected responses and social preferences both play a significant role in determining investment in the game. Moreover, these point estimates fall within our most reasonable bounds. This suggests that credible inferences can be obtained using non-incentivized beliefs.