Uncovering heterogeneous social effects in binary choices
Uncovering heterogeneous social effects in binary choices
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DOI：
10.1016/j.jeconom.2020.08.005
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发表时间：
2021-04-17
影响因子：
6.3
通讯作者：
Yu, Ning Neil
中科院分区：
文献类型：
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作者：
Lin, Zhongjian;Tang, Xun;Yu, Ning Neil
我们识别和估计异质性的社会影响，使二元选择的个人群体。这些异质的社会效应，其中包括同行和上下文的影响，通过未观察到的影响矩阵，总结了每个组内的成员如何影响对方的结果建模。我们恢复参数的社会影响，以及未知的影响矩阵，利用这些矩阵是如何连接到简化形式的影响的多个特征。蒙特卡罗实验表明，嵌套定点极大似然估计的社会效应具有良好的有限样本性能。使用一个新的数据集，我们分析了大学室友如何影响对方的决定参加志愿活动。我们的估计揭示了这些学生之间的社会影响的实质性异质性。(C)2020 Elsevier B.V.保留所有权利。
We identify and estimate heterogeneous social effects within groups of individuals that make binary choices. These heterogeneous social effects, which include peer and con-textual effects, are modeled through unobserved influence matrices that summarize how the members within each group affect each other's outcomes. We recover parameters in social effects as well as the unknown influence matrices by exploiting how these matrices are linked to the reduced-form effects of multiple characteristics. Monte Carlo experiments show that a nested fixed-point maximum-likelihood estimator for the social effects has good finite-sample performance. Using a new dataset, we analyze how college roommates influence each other's decisions to participate in volunteering activities. Our estimates reveal substantial heterogeneity in the social effects among these students. (C) 2020 Elsevier B.V. All rights reserved.