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Full-Text Articles in Social and Behavioral Sciences

Power And Statistical Significance In Securities Fraud Litigation, Jill E. Fisch, Jonah B. Gelbach Jan 2021

Power And Statistical Significance In Securities Fraud Litigation, Jill E. Fisch, Jonah B. Gelbach

All Faculty Scholarship

Event studies, a half-century-old approach to measuring the effect of events on stock prices, are now ubiquitous in securities fraud litigation. In determining whether the event study demonstrates a price effect, expert witnesses typically base their conclusion on whether the results are statistically significant at the 95% confidence level, a threshold that is drawn from the academic literature. As a positive matter, this represents a disconnect with legal standards of proof. As a normative matter, it may reduce enforcement of fraud claims because litigation event studies typically involve quite low statistical power even for large-scale frauds.

This paper, written for …


Analyzing Wrongful Convictions Beyond The Traditional Canonical List Of Errors, For Enduring Structural And Sociological Attributes, (Juveniles, Racism, Adversary System, Policing Policies), Leona D. Jochnowitz, Tonya Kendall Jan 2021

Analyzing Wrongful Convictions Beyond The Traditional Canonical List Of Errors, For Enduring Structural And Sociological Attributes, (Juveniles, Racism, Adversary System, Policing Policies), Leona D. Jochnowitz, Tonya Kendall

Touro Law Review

Researchers identify possible structural causes for wrongful convictions: racism, justice system culture, adversary system, plea bargaining, media, juvenile and mentally impaired accused, and wars on drugs and crime. They indicate that unless the root causes of conviction error are identified, the routine explanations of error (e.g., eyewitness identifications; false confessions) will continue to re-occur. Identifying structural problems may help to prevent future wrongful convictions. The research involves the coding of archival data from the Innocence Project for seventeen cases, including the one for the Central Park Five exonerees. The data were coded by Hartwick College and Northern Vermont University students …