Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/55559
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dc.contributor.authorSupanika Leurcharusmeeen_US
dc.contributor.authorJirakom Sirisrisakulchaien_US
dc.contributor.authorSumate Pruekruedeeen_US
dc.date.accessioned2018-09-05T02:57:54Z-
dc.date.available2018-09-05T02:57:54Z-
dc.date.issued2016-01-01en_US
dc.identifier.issn1860949Xen_US
dc.identifier.other2-s2.0-84952682937en_US
dc.identifier.other10.1007/978-3-319-27284-9_32en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84952682937&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/55559-
dc.description.abstract© Springer International Publishing Switzerland 2016. In this study, we measure the ability to produce and provide services of telecommunication firms in Thailand. We propose a methodology to estimate firm technical efficiency using the Stochastic Frontier Analysis (SFA) with copulas to capture both the dependence of the stochastic and inefficiency error components and the dependence of the errors across time. Allowing the dependence between the stochastic error and the aggregate error prevents the estimation of the technical efficiency from being biased. Moreover, allowing the time dependence for the aggregate error improves the efficiency of the model. The results show that the average technical efficiency is 0.54, which indicates a room for improvement in the industry.en_US
dc.subjectComputer Scienceen_US
dc.titleFirm efficiency in Thailand’s telecommunication industry: Application of the stochastic frontier model with dependence in time and error componentsen_US
dc.typeBook Seriesen_US
article.title.sourcetitleStudies in Computational Intelligenceen_US
article.volume622en_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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