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Articles 1 - 4 of 4
Full-Text Articles in Law
Occupational Licensing And The Limits Of Public Choice Theory, Gabriel Scheffler, Ryan Nunn
Occupational Licensing And The Limits Of Public Choice Theory, Gabriel Scheffler, Ryan Nunn
All Faculty Scholarship
Public choice theory has long been the dominant lens through which economists and other scholars have viewed occupational licensing. According to the public choice account, practitioners favor licensing because they want to reduce competition and drive up their own wages. This essay argues that the public choice account has been overstated, and that it ironically has served to distract from some of the most important harms of licensing, as well as from potential solutions. We emphasize three specific drawbacks of this account. First, it is more dismissive of legitimate threats to public health and safety than the research warrants. Second, …
Unlocking Access To Health Care: A Federalist Approach To Reforming Occupational Licensing, Gabriel Scheffler
Unlocking Access To Health Care: A Federalist Approach To Reforming Occupational Licensing, Gabriel Scheffler
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Several features of the existing occupational licensing system impede access to health care without providing appreciable protections for patients. Licensing restrictions prevent health care providers from offering services to the full extent of their competency, obstruct the adoption of telehealth, and deter foreign-trained providers from practicing in the United States. Scholars and policymakers have proposed a number of reforms to this system over the years, but these proposals have had a limited impact for political and institutional reasons.
Still, there are grounds for optimism. In recent years, the federal government has taken a range of initial steps to reform licensing …
Transparency And Algorithmic Governance, Cary Coglianese, David Lehr
Transparency And Algorithmic Governance, Cary Coglianese, David Lehr
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Machine-learning algorithms are improving and automating important functions in medicine, transportation, and business. Government officials have also started to take notice of the accuracy and speed that such algorithms provide, increasingly relying on them to aid with consequential public-sector functions, including tax administration, regulatory oversight, and benefits administration. Despite machine-learning algorithms’ superior predictive power over conventional analytic tools, algorithmic forecasts are difficult to understand and explain. Machine learning’s “black-box” nature has thus raised concern: Can algorithmic governance be squared with legal principles of governmental transparency? We analyze this question and conclude that machine-learning algorithms’ relative inscrutability does not pose a …
Tech, Regulatory Arbitrage, And Limits, Elizabeth Pollman
Tech, Regulatory Arbitrage, And Limits, Elizabeth Pollman
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Regulatory arbitrage refers to structuring activity to take advantage of gaps or differences in regulations or laws. Examples include Facebook modifying its terms and conditions to reduce the exposure of its user data to strict European privacy laws, and Uber and other platform companies organizing their affairs to categorize workers as non-employees. This essay explores the constraints and limits on regulatory arbitrage through the lens of the technology industry, known for its adaptiveness and access to strategic resources. Specifically, the essay explores social license and the bundling of laws and resources as constraining forces on regulatory arbitrage, and the legal …