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Articles 1 - 3 of 3
Full-Text Articles in Behavioral Economics
Corporate Law For Good People, Yuval Feldman, Adi Libson, Gideon Parchomovsky
Corporate Law For Good People, Yuval Feldman, Adi Libson, Gideon Parchomovsky
All Faculty Scholarship
This article offers a novel analysis of the field of corporate governance by viewing it through the lens of behavioral ethics. It calls for both shifting the focus of corporate governance to a new set of loci of potential corporate wrongdoing and adding new tools to the corporate governance arsenal. The behavioral ethics scholarship emphasizes the large share of wrongdoing generated by "good people" whose intention is to act ethically. Their wrongdoing stems from "bounded ethicality" -- various cognitive and motivational processes that lead to biased decisions that seem legitimate. In the legal domain, corporate law provides the most fertile …
A Psychological Account Of Consent To Fine Print, Tess Wilkinson-Ryan
A Psychological Account Of Consent To Fine Print, Tess Wilkinson-Ryan
All Faculty Scholarship
The moral and social norms that bear on contracts of adhesion suggest a deep ambivalence. Contracts are perceived as serious moral obligations, and yet they must be taken lightly or everyday commerce would be impossible. Most people see consent to boilerplate as less meaningful than consent to negotiated terms, but they nonetheless would hold consumers strictly liable for both. This Essay aims to unpack the beliefs, preferences, assumptions, and biases that constitute our assessments of assent to boilerplate. Research suggests that misgivings about procedural defects in consumer contracting weigh heavily on judgments of contract formation, but play almost no role …
Predicting Securities Fraud Settlements And Amounts: A Hierarchical Bayesian Model Of Federal Securities Class Action Lawsuits, Blakeley B. Mcshane, Oliver P. Watson, Tom Baker, Sean J. Griffith
Predicting Securities Fraud Settlements And Amounts: A Hierarchical Bayesian Model Of Federal Securities Class Action Lawsuits, Blakeley B. Mcshane, Oliver P. Watson, Tom Baker, Sean J. Griffith
All Faculty Scholarship
This paper develops models that predict the incidence and amount of settlements for federal class action securities fraud litigation in the post-PLSRA period. We build hierarchical Bayesian models using data which comes principally from Risk metrics and identify several important predictors of settlement incidence (e.g., the number of different types of securities associated with a case, the company return during the class period) and settlement amount (e.g., market capitalization, measures of newsworthiness). Our models allow us to estimate how the circuit court a case is filed in as well as the industry of the plaintiff firm associate with settlement outcomes. …