信息不对称下的谈判:辩诉交易实证研究

Bargaining With Asymmetric Information: An Empirical Study of Plea Negotiations

Econometrica · 2017
被引 48
人大 A+FT50ABS 4*

中文导读

利用北卡罗来纳州刑事案件数据,实证研究审判量刑如何影响辩诉交易,评估不同量刑改革对案件结果的影响,发现降低最低强制刑期可大幅减少总监禁时间但可能提高定罪率。

Abstract

This paper empirically investigates how sentences to be assigned at trial impact plea bargaining. The analysis is based on the model of bargaining with asymmetric information by Bebchuk, 1984. I provide conditions for the nonparametric identification of the model, propose a consistent nonparametric estimator, and implement it using data on criminal cases from North Carolina. Employing the estimated model, I evaluate how different sentencing reforms affect the outcome of criminal cases. My results indicate that lower mandatory minimum sentences could greatly reduce the total amount of incarceration time assigned by the courts, but may increase conviction rates. In contrast, the broader use of non-incarceration sentences for less serious crimes reduces the number of incarceration convictions, but has a very small effect over the total assigned incarceration time. I also consider the effects of a ban on plea bargains. Depending on the case characteristics, over 20 percent of the defendants who currently receive incarceration sentences would be acquitted if plea bargains were forbidden.

非参数识别量刑改革认罪协商信息不对称