Addressing Unobserved Selection Bias in Accounting Studies: The Bias Minimization Method
介绍最小偏差估计量（MBE），帮助会计研究者分析回归或倾向得分匹配处理估计对未观测选择偏差的稳健性，无需工具变量，并提供了实证示例。
This note explains the minimum-biased estimator (MBE), which accounting researchers can use to analyze the robustness of regression or propensity score-matched treatment estimates to unobserved selection (endogeneity) bias. Based on the principles of the Heckman treatment model, the MBE entails estimating matched treatment effects within a range of propensity scores that minimizes unobserved selection bias. A major advantage of the MBE is that an instrumental variable is not required. The potential utility of the MBE in accounting studies is highlighted, and a familiar empirical illustration is provided.