Bao, Zhengyang; Gangadharan, Lata; Leister, C. Matthew - 2021
We propose a deterrence mechanism that utilizes insider information contained in criminal networks. Under this mechanism, a suspect, identified by the regulator, can nominate a connected person from the network for the crime, and only the more severe offender is penalized. We show theoretically...