Partial Identification of Marginal Treatment Effects with Discrete Instruments and Misreported Treatment*
研究了当二元处理变量可能被误报且工具变量为离散时，如何对边际处理效应进行部分识别，并推导了有误报和无误报两种情况下的界，最后用食品券对健康的影响示例说明。
This paper provides partial identification results for the marginal treatment effect (MTE) when the binary treatment variable is potentially misreported and the instrumental variable is discrete. Identification results are derived under smoothness assumptions. Bounds for both the case of misreported treatment and the case of no misreported treatment are derived. The identification results are illustrated by identifying the marginal treatment effects of food stamps on health.