In this article, as part of the symposium on total factor productivity, Erwin Diewert of the University of British Columbia provides a comprehensive discussion of what is needed to develop reliable measures of total factor productivity in terms of output and the different classes of inputs. He...

In order to study the use of Twitter, it would be useful to be able to easily classify large volumes of messaging being used by Twitter users besides just in the traditional dimensions of positive and negative sentiment. For instance, in the space of social media marketing, it would be useful to...

This study compares Russian state information systems of industry with UN international recommendations. The harmonization of the Russian information system with successful international practices is necessary for measuring the main industrial indicator levels and dynamics in comparison with the...

Rauterberg & Talley (2017) develop a data set of “corporate opportunity waivers” (COWs) — significant contractual modifications of fiduciary duties — sampled from SEC filings. Part of their analysis utilizes a machine learning (ML) classifier to extend their data set beyond the...