Estimating semi-parametric output distance functions with neural-based reduced form equations using LIML

Vouldis, AT; Michaelides, PG; Tsionas, EG

dc.contributor.author	Vouldis, AT	en
dc.contributor.author	Michaelides, PG	en
dc.contributor.author	Tsionas, EG	en
dc.date.accessioned	2014-03-01T01:33:23Z
dc.date.available	2014-03-01T01:33:23Z
dc.date.issued	2010	en
dc.identifier.issn	0264-9993	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/20407
dc.subject	ANN	en
dc.subject	LIML	en
dc.subject	Output distance function	en
dc.subject	Technical efficiency	en
dc.subject	Translog	en
dc.subject.classification	Economics	en
dc.subject.other	STOCHASTIC FRONTIER MODELS	en
dc.subject.other	DATA ENVELOPMENT ANALYSIS	en
dc.subject.other	TECHNICAL EFFICIENCY	en
dc.subject.other	EUROPEAN RAILWAYS	en
dc.subject.other	BAYESIAN-APPROACH	en
dc.subject.other	NETWORK MODELS	en
dc.subject.other	INFERENCE	en
dc.subject.other	INEFFICIENCY	en
dc.subject.other	PRICES	en
dc.title	Estimating semi-parametric output distance functions with neural-based reduced form equations using LIML	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.econmod.2010.01.009	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.econmod.2010.01.009	en
heal.language	English	en
heal.publicationDate	2010	en
heal.abstract	Efficiency analysis is an important tool for evaluating firms' performance. This paper introduces a novel approach for measuring technical efficiency (TE) in the case of technologies with multiple outputs which deals with the endogeneity of outputs issue. The proposed approach uses Artificial Neural Networks (ANNs) and the method of Limited Information Maximum Likelihood (LIML). The validity of the proposed approach is illustrated by fitting it to a large US data set for all commercial banks in the 1989-2000 time span. Meanwhile, we compare the proposed approach to the single-equation Translog output distance function and the proposed approach was found to yield very satisfactory results, while dealing with the issue of the endogeneity of outputs. (C) 2010 Elsevier B.V. All rights reserved.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	Economic Modelling	en
dc.identifier.doi	10.1016/j.econmod.2010.01.009	en
dc.identifier.isi	ISI:000276289100010	en
dc.identifier.volume	27	en
dc.identifier.issue	3	en
dc.identifier.spage	697	en
dc.identifier.epage	704	en