In this paper we introduce a new Malmquist productivity index that has three attractive features: it avoids linear programming infeasibilities under variable returns to scale, it allows for technical regress, and it does not need to be recomputed when a new time period is added to the data set....

The authors assess the performance of professional tennis players from the perspective of the efficiency of their game using data envelopment analysis (DEA). This research can complement the information provided by the Association of Tennis Professionals (ATP) ranking, which is concerned with...

Data Envelopment Analysis (DEA) is a recently developed methodology that is widely used for estimating relative efficiency scores of Decision Making Units (DMUs) that use several inputs to produce several outputs. Model specification in DEA includes aspects such as the choice of inputs and...

This paper attempts to analyse whether banking technology and environmental conditions act as barriers for the entry of foreign banks in each European banking industry. We evaluate how the efficiency score of a representative commercial bank of a given European country changes if it decides to...

In this note we show, by means of several examples, that a directional distance function model cannot be matched with an additive model. Specifically, we show the difference between the directional slacks-based measure and the corresponding directional distance function.

Chapter 1: Introduction -- Chapter 2: Conceptual background: firms’ objectives, decision variables and economic efficiency -- Part I -- Chapter 3: Shephard’s input and output distance functions: cost and revenue efficiency decompositions -- Chapter 4: The generalized distance function (GDF):...