Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 4 of 4
Full-Text Articles in Law
Dimensions Of Delegation, Cary Coglianese
Dimensions Of Delegation, Cary Coglianese
All Faculty Scholarship
How can the nondelegation doctrine still exist when the Supreme Court over decades has approved so many pieces of legislation that contain unintelligible principles? The answer to this puzzle emerges from recognition that the intelligibility of any principle dictating the basis for lawmaking is but one characteristic defining that authority. The Court has acknowledged five other characteristics that, taken together with the principle articulating the basis for executive decision-making, constitute the full dimensionality of any grant of lawmaking authority and hold the key to a more coherent rendering of the Court’s application of the nondelegation doctrine. When understood in dimensional …
Capturing Regulatory Agendas?: An Empirical Study Of Industry Use Of Rulemaking Petitions, Daniel Walters
Capturing Regulatory Agendas?: An Empirical Study Of Industry Use Of Rulemaking Petitions, Daniel Walters
All Faculty Scholarship
A great deal of skepticism toward administrative agencies stems from the widespread perception that they excessively or even exclusively cater to business interests. From the political right comes the accusation that business interests use regulation to erect barriers to entry that protect profits and stifle competition. From the political left comes the claim that business interests use secretive interactions with agencies to erode and negate beneficial regulatory programs. Regulatory “capture” theory elevates many of these claims to the status of economic law. Despite growing skepticism about capture theory in academic circles, empirical studies of business influence and capture return ambiguous …
Transparency And Algorithmic Governance, Cary Coglianese, David Lehr
Transparency And Algorithmic Governance, Cary Coglianese, David Lehr
All Faculty Scholarship
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 …
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
All Faculty Scholarship
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 …