Paul W. Wilson

TL;DR: In this paper, a dimensionless transformation of the (p + q)-dimensional production process is used to develop an alternative formulation of distance from a realization of (X, Y) to the efficient support boundary, motivating a new, unconditional quantile frontier lying inside the joint support of X, Y, but near the full, efficient frontier.

TL;DR: A linear programming framework is used to construct a production frontier which allows measurement of relative efficiency among institutions in the sample, and different types of institutions are compared in terms of average efficiency.

TL;DR: It is found that locally available HPC resources enhance the technical efficiency of research output in Chemistry, Civil Engineering, Physics, and History, but not in Computer Science, Economics, nor English; and mixed results for Biology.

TL;DR: A rich theory of production and analysis of productive efficiency has developed since the pioneering work by Tjalling C. Koopmans and Gerard Debreu as discussed by the authors, who published the first empirical study in a statistical journal (Journal of the Royal Statistical Society), even though the article provided no statistical theory.

TL;DR: In this article, the authors used a dimensionless transformation of the (p + q)-dimensional production process to develop an alternative formulation of distance from a realization of (X, Y ) to the efficient support boundary, motivating a new, unconditional quantile frontier lying inside the joint support of X, Y, but near the full, efficient frontier.