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不对称信息下的讨价还价:认罪协商的实证研究

Bargaining With Asymmetric Information: An Empirical Study of Plea Negotiations
Econometrica · 2017 · Bernardo Silveira

中文摘要

本文实证研究了审判中将要判处的刑罚如何影响认罪协商。分析基于 Bebchuk (1984) 的不对称信息讨价还价模型。我给出了该模型非参数识别的条件,提出了一致的非参数估计量,并利用北卡罗来纳州的刑事案件数据进行了实现。运用估计出的模型,我评估了不同量刑改革如何影响刑事案件的结果。我的结果表明,降低法定最低刑可能大幅减少法院判处的总监禁时间,但可能提高定罪率。相比之下,对较轻罪行更广泛地使用非监禁刑会减少监禁类定罪的数量,但对总判处监禁时间的影响非常小。我还考察了禁止认罪协商的效果。视案件特征而定,如果禁止认罪协商,目前被判处监禁的被告中将有超过 20% 会被宣告无罪。

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.
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