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Full-Text Articles in Law

Opinion: How Software Stifles Competition And Innovation, James Bessen Oct 2023

Opinion: How Software Stifles Competition And Innovation, James Bessen

Faculty Scholarship

Innovation is not what it used to be, and software is part of the reason. In many industries—industries well beyond Big Tech—dominant firms have built large software-based platforms delivering important consumer benefits, but these platforms also slow the rise of innovative rivals, including productive startups.5 Because access to these platforms is limited, competition has been constrained, creating a troubling market dynamic that slows economic growth.


The Long Shadow Of Inevitable Disclosure, Stacey Dogan, Felicity Slater Apr 2023

The Long Shadow Of Inevitable Disclosure, Stacey Dogan, Felicity Slater

Faculty Scholarship

A growing body of evidence has highlighted the human and economic costs associated with contractual restrictions on employee mobility. News accounts describe abusive use of non-compete clauses to prevent low wage workers from seeking better options. Economists, meanwhile, have demonstrated that innovation and economic dynamism may suffer when employers can easily prevent their employees from changing jobs. While state legislatures have attempted to address these concerns by restricting employers' use of non-compete agreements, the Federal Trade Commission recently announced a plan to prohibit them altogether. As policymakers focus attention on contractual limits on employment mobility, however, a more insidious threat …


Layered Fiduciaries In The Information Age, Zhaoyi Li Jan 2023

Layered Fiduciaries In The Information Age, Zhaoyi Li

Indiana Law Journal

Technology companies such as Facebook have long been criticized for abusing customers’ personal information and monetizing user data in a manner contrary to customer expectations. Some commentators suggest fiduciary law could be used to restrict how these companies use their customers’ data.1 Under this framework, a new member of the fiduciary family called the “information fiduciary” was born. The concept of an information fiduciary is that a company providing network services to “collect, analyze, use, sell, and distribute personal information” owes customers and end-users a fiduciary duty to use the collected data to promote their interests, thereby assuming fiduciary liability …


The Law And Economics Of Freshwater, Bruce R. Huber Jan 2023

The Law And Economics Of Freshwater, Bruce R. Huber

Book Chapters

The chapter is a tribute to Klaus Mathis for his invaluable contributions at the intersection of law and economics.

Law and Economics in all seinen Facetten Festschrift zu Ehren von Klaus Mathis trans: Law and Economics in All His Facets: Festschrift in Honor of Klaus Mathis

Series: Schriften zur Rechtstheorie, vol. 309


Illusory Policy Implications Of Behavioral Law & Economics, Terrance O'Reilly Jan 2023

Illusory Policy Implications Of Behavioral Law & Economics, Terrance O'Reilly

Marquette Law Review

Behavioral law and economics has achieved notable policy influence promoting soft paternalism—using nudges to encourage better choices without limiting options. Recently, some behavioral scholars have suggested that positive behavioral models actually support hard paternalism—imposing mandates. This Article challenges the insinuation that behavioral law and economics supports mandates.


Trial Selection And Estimating Damages Equations, Keith N. Hylton Jan 2023

Trial Selection And Estimating Damages Equations, Keith N. Hylton

Faculty Scholarship

Many studies have employed regression analysis with data drawn from court opinions. For example, an analyst might use regression analysis to determine the factors that explain the size of damages awards or the factors that determine the probability that the plaintiff will prevail at trial or on appeal. However, the full potential of multiple regression analysis in legal research has not been realized, largely because of the sample selection problem. We propose a method for controlling for sample selection bias using data from court opinions.