University of North Carolina Hospitals

University of North Carolina School of Law
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    Foreword

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    When Disaster Strikes: Authorizing Documents of Recission for Fraud in North Carolina

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    Contents

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    Populist Constitutionalism

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    Understanding Uncontested Prosecutor Elections

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    Prosecutors are very powerful players in the criminal justice system. One of the few checks on their power is their periodic obligation to stand for election. But very few prosecutor elections are contested, and even fewer are competitive. As a result, voters are not able to hold prosecutors accountable for their decisions. The problem with uncontested elections has been widely recognized, but little understood. The legal literature has lamented the lack of choice for voters, but any suggested solutions have been based on only anecdote or simple descriptive analyses of election data. Using a logistic regression analysis, this Article estimates the individual effects of a number of variables on prosecutor elections. It finds that several factors that have been previously identified as contributing to an uncontested election are not, in fact, what drives uncontested elections for prosecutors. Instead, the factors with the largest effect are whether an incumbent runs and the population of the district. It also identifies two features of state election law that contribute to the dearth of contested elections. The Article concludes by noting that these factors suggest specific policy changes that could help to increase the number of contested and competitive elections—thus ensuring that voters can help guide important criminal justice decisions in their communities

    AI, Taxation, and Valuation

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    Virtually every tax system relies upon accurate asset valuations. In some cases, this is an easy identification exercise, and the exact fair market value of an asset is readily ascertainable. Often, however, the reverse is true, and ascertaining an asset’s fair market value yields, at best, a numerical range of possible outcomes. Taxpayers commonly capitalize upon this uncertainty in their reporting practices, such that tax compliance lags and the IRS has a difficult time fulfilling its oversight responsibilities. As a by-product of this dynamic, the Treasury suffers. This Article explores how tax systems, utilizing artificial intelligence, can strategically address asset-valuation concerns, offering practical reforms that would help obviate this nettlesome and age-old problem. Indeed, if the IRS and Congress were to take advantage of this new and innovative technological approach, doing so would bode well for more accurate asset valuations and thereby foster greater tax compliance. Put somewhat differently, in the Information Era in which we exist, it is simply no longer true that accurate asset valuations are unattainable

    The Trump Impeachments: Lessons for the Constitution, Presidents, Congress, Justice, Lawyers, and the Public

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    The conventional wisdom is that the two impeachments of Donald Trump demonstrated the ineffectiveness of impeachment as a remedy for serious presidential misconduct. Meeting the constitutional threshold for conviction and removal requiring at least two-thirds approval of the Senate is practically impossible so long as the members of the President’s party in Congress control at least a third of the seats in the Senate and are united in opposition to his impeachment and conviction. This Article challenges this conventional wisdom and argues instead that the two Trump impeachments have enduring effects on Trump’s political future and legacy, especially in light of the fact that the vast majority of senators condemned his actions in his second trial and the voluminous records of his misconduct serving as the basis for his first impeachment. The Article also assesses the lessons the trials have taught about the effectiveness of various safeguards against the misconduct of presidents and the lawyers who enable their corruption

    Fake and Real People in Bankruptcy

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    This essay explores the bankruptcy system’s structural bias in favor of artificial persons—for-profit companies, non-profit enterprises, and municipalities given independent life by law—relative to humans. The favorable treatment extends to foundational issues such as the scope and timing of debt relief, the conditions to receiving any bankruptcy protections, and the flexibility to depart from the Bankruptcy Code by asserting that doing so will maximize economic value. The system’s bias also contributes to the “bad-apple-ing” of serious policy problems, running counter to other areas of law that have deemed harms like discrimination to be larger institutional phenomena rather than merely the product of individual wrongdoing. The bankruptcy system cannot fully internalize the consequences of these choices. These factors make bankruptcy a less effective partner in the broader policy project of deterring, remedying, and punishing enterprise misconduct

    Multibillion-Dollar Tax Questions

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    Tax compliance in the United States historically hovers in the 80 percent range, costing the nation approximately half a trillion dollars annually in uncollected tax revenue. To foster greater tax compliance, the Internal Revenue Service (IRS) should employ whatever tools are at its disposal. Standard deterrence theory argues that increasing the audit rate and imposing stiffer penalties would foster greater tax compliance. There are political headwinds, however, that strongly suggest that these approaches are not currently viable. Instead, there is a low-cost method that could yield greater tax compliance. Drawing on recent and compelling social science research, the IRS should ask more information-revealing questions on tax returns. By engaging in this important exercise of strategic inquiries, dual benefits are likely to emerge: taxpayers would be more likely to report honestly to avoid acts of commission (e.g., lying); and the IRS would be in a better strategic position because it would possess additional, relevant information on taxpayer activities

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