Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Stochastic Frontier Analysis Using SFAMB for Ox | Holtkamp | Journal of Statistical Software
Authors: Jonathan Holtkamp, Bernhard Brümmer
Title: Stochastic Frontier Analysis Using SFAMB for Ox
Abstract: SFAMB is a flexible econometric tool designed for the estimation of stochastic frontier models. Ox is a matrix language used in different modules, with a console version freely available to academic users. This article provides a brief introduction to the field of stochastic frontier analysis, with examples of code (input and output) as well as a technical documentation of member functions. SFAMB provides frontier models for both crosssectional data and panel data (focusing on fixed effects models). Member functions can be extended depending on the needs of the user.

Page views:: 963. Submitted: 2014-05-04. Published: 2017-11-08.
Paper: Stochastic Frontier Analysis Using SFAMB for Ox     Download PDF (Downloads: 934)
Supplements:
SFAMB_1.1.zip: Source code (including replication code) Download (Downloads: 50; 315KB)

DOI: 10.18637/jss.v081.i06

by
This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.