Conference Inv. Dr. Javier Barbero: “A Data Envelopment Analysis Toolbox for MATLAB”

Title: A Data Envelopment Analysis Toolbox for MATLAB

Speaker: Javier Barbero

Date: 08/04/2016 12:00

Location: Sala de Seminarios, Edificio Torretamarit

Abstract:

Data Envelopment Analysis Toolbox is a new package for MATLAB that includes functions to calculate the main DEA models. The package includes code for the standard additive and radial input and output measures, allowing for constant and variable returns to scale, as well as recent developments related to the directional distance function, and including both desirable and undesirable outputs when measuring efficiency and productivity; i.e., Malmquist and Malmquist-Luenberger indices. Bootstrapping to perform statistical analysis is also included. In this talk we are going to describe the methodology and implementation of the functions and show numerical results with well-known examples to illustrate their use. Data Envelopment Analysis Toolbox is available as free software, under the GNU General Public License version 3, and can be downloaded from http://www.deatoolbox.com, with all the supplementary material (data, examples and source code) to replicate all results to be presented during the talk. Users will benefit from the collaboration and review of the community, and can check the code to learn how DEA optimizing programs are translated into suitable code.

Brief Bio:
Javier Barbero is Ph.D. in Economics and he holds MSc in International Economic by the Universidad Autónoma de Madrid. He received a scholarship from the Spanish Ministry of Education in 2012. He has made research stays at the Université du Québec à Montréal and at The London School of Economics and Political Science. His research fields are economic theory, spatial economics, location theory, and the introduction of network theory and computational methods in economic analysis, among others. He participates as a researcher in projects financed by ministries and public and private administrations.

Video:

5 October 2016