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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
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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, …
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 …