Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 3 of 3
Full-Text Articles in Law
Opinion: How Software Stifles Competition And Innovation, James Bessen
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
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 …
Trial Selection And Estimating Damages Equations, Keith N. Hylton
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.