Ad: BlueJ Better Tax Answers. -Accomplish hours of research in seconds -Instantly draft high-quality communications -Verify answers using a library of trusted tax content. Learn more

Caron Presents Using SSRN to Measure Scholarly Performance Today at Cincinnati

Cincinnati_2I am presenting Ranking Law Schools: Using SSRN to Measure Scholarly Performance today at noon at Cincinnati as part of our weekly summer faculty scholarship series.  The paper is an early version of the article I am writing with Bernard S. Black (Texas) for the Indiana Law Journal as part of our symposium on The Next Generation of Law School Rankings.  Here is the abstract:

There are several methods for ranking the scholarly performance of law faculties, including reputation surveys (U.S. News, Leiter); publication counts (Lindgren & Seltzer, Leiter); and citation counts (Eisenberg & Wells, Leiter). Each offers a useful but partial picture of faculty performance. We explore here whether the new “beta” SSRN-based measures (number of downloads and number of posted papers) can offer a different and useful, albeit also partial, picture. Our modest conclusion is that SSRN-based measures can address some of the deficiencies in these other measures and thus play a valuable role in the rankings tapestry. For example, SSRN offers real-time data covering most American law schools and many foreign law schools, while citation and publication counts appear sporadically and cover a limited number of U.S. schools. The SSRN measures favor work with audiences across disciplines and across countries, while other measures are more law-centric and U.S.-centric. SSRN is relatively new and thus favors younger scholars and improving schools, while other measures favor more established scholars and schools. At the same time, the SSRN measures have important field and other biases, as well as gaming risks.

We assess the correlations among the different measures, both on an aggregate and on a per faculty member basis. We find that all measures are strongly correlated; that total and per faculty measures are highly correlated; and that SSRN measures based on papers are highly correlated with download measures. Among major schools, all measures also correlate with school size. We also suggest ways to enhance the usefulness of SSRN-based and other measures, and discuss current and potential strategies for addressing gaming risk.


About the Author

Ad: BlueJ Better Tax Answers. Blue J's generative AI tax research solution is transforming how tax experts work. Learn more.
Information and rates on advertising on TaxProf Blog