In‐Group Favoritism as Legal Strategy: Evidence from FCPA Settlements

Author:

Feinstein Brian D.,Heaston William R.,Siqueira de Carvalho Guilherme

Abstract

Anti‐corruption laws aim to bolster public integrity by punishing attempts to illegitimately curry favor with government decision‐makers. These laws, however, can generate integrity risks of their own. This article examines one such risk: that firms subject to scrutiny under the Foreign Corrupt Practices Act (FCPA) may attempt to influence prosecutors by exploiting shared political leanings or related socio‐cultural ties. Drawing on social psychology, we theorize that FCPA defendants retain defense attorneys who are aligned with government officials. This behavior is consistent with a strategy of marshaling in‐group favoritism—i.e., the psychological tendency for individuals to view more favorably those that they perceive as members of the same group—to defendants' advantage. This strategy may be particularly auspicious in FCPA matters, in which prosecutors engage in subjective, trust‐based assessments of defendants' self‐investigatory efforts, typically with minimal judicial oversight. We test this theory by matching attorneys listed on court filings for all FCPA matters over eighteen years with a database of individuals' political views based on their patterns of political donations. This analysis reveals that defendants tend to hire more liberal attorneys to represent them on these filings when prosecutors lean left and during Democratic administrations, and more conservative attorneys when prosecutors lean right and during Republican presidencies. In light of these findings, we offer policy prescriptions aimed at increasing transparency and judicial oversight of FCPA matters to mitigate integrity risks.

Publisher

Wiley

Subject

Law,Business and International Management

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Partisan bias in securities enforcement;The Journal of Law, Economics, and Organization;2024-08-27

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3