Universität zu Köln

Badunenko, Oleg and Mozharovskyi, Pavlo (2016). Nonparametric frontier analysis using Stata. Stata J., 16 (3). S. 550 - 590. COLLEGE STATION: STATA PRESS. ISSN 1536-867X

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Abstract

In this article, we describe five new Stata commands that fit and provide statistical inference in nonparametric frontier models. The tenonradial and teradial commands fit data envelopment models where nonradial and radial technical efficiency measures are computed (Fare, 1998, Fundamentals of Production Theory; Fare and Lovell, 1978, Journal of Economic Theory 19: 150-162; Fare, Grosskopf, and Lovell, 1994a, Production Frontiers). Technical efficiency measures are obtained by solving linear programming problems. The teradialbc, nptestind, and nptestrts commands provide tools for making statistical inference regarding radial technical efficiency measures (Simar and Wilson, 1998, Management Science 44: 49-61; 2000, Journal of Applied Statistics 27: 779-802; 2002, European Journal of Operational Research 139: 115-132). We provide a brief overview of the nonparametric efficiency measurement, and we describe the syntax and options of the new commands. Additionally, we provide an example showing the capabilities of the new commands. Finally, we perform a small empirical study of productivity growth.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Badunenko, Oleg UNSPECIFIED UNSPECIFIED UNSPECIFIED Mozharovskyi, Pavlo UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-288960
DOI:	10.1177/1536867X1601600302
Journal or Publication Title:	Stata J.
Volume:	16
Number:	3
Page Range:	S. 550 - 590
Date:	2016
Publisher:	STATA PRESS
Place of Publication:	COLLEGE STATION
ISSN:	1536-867X
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language DATA ENVELOPMENT ANALYSIS; PRODUCTIVE EFFICIENCY; MODELS; GROWTH Multiple languages Social Sciences, Mathematical Methods; Statistics & Probability Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/28896