UTL Repository >
ISEG - Instituto Superior de Economia e Gestão / ISEG - School of Economics & Management Lisbon >
Departamento de Economia / Department of Economics >
DE - Documentos de trabalho / Working Papers >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10400.5/2341

Title: Identification of Segments of Thermo Energy Plants with a Latent Class Model
Authors: Barros, Carlos Pestana
Keywords: cost efficiency
latent class model
thermo energy plants
stochastic frontier
Issue Date: 2008
Publisher: ISEG – Departamento de Economia
Citation: Barros, Carlos Pestana. 2008. "Identification of Segments of Thermo Energy Plants with a Latent Class Model". Instituto Superior de Economia e Gestão - DE Working papers nº 16-2008/DE/UECE
Series/Report no.: DE Working papers;nº 16-2008/DE/UECE
Abstract: This paper identifies different groups in a cost function framework of thermo energy plants belonging to EDP-Electricity of Portugal. In particular, we have clustered the sample - comprising data for years 1987 to 2006 - into two groups. To do so, we have implemented a stochastic frontier latent class model, a procedure that also permits us to analyze also the efficiency of the thermo energy plants with respect to their own frontiers. The results reveal that some of the plants could improve their efficiency levels substantially.
URI: http://hdl.handle.net/10400.5/2341
ISSN: 0874-4548
Publisher version: https://aquila1.iseg.utl.pt/aquila/getFile.do?method=getFile&fileId=26518
Appears in Collections:UECE - Documentos de Trabalho / UECE - Working Papers
DE - Documentos de trabalho / Working Papers

Files in This Item:

File Description SizeFormat
wp162008.pdf496.68 kBAdobe PDFView/Open
Statistics
FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpaceOrkut
Formato BibTex mendeley Endnote Logotipo do DeGóis 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 
Estamos no RCAAP Governo Português separator Ministério da Educação e Ciência   Fundação para a Ciência e a Tecnologia

Financiado por:

POS_C UE