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이동통신 시장의 번호이동요인 실증분석: 지역 간 이주모형으로 추정

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dc.contributor.author임해솔-
dc.contributor.author김현석-
dc.contributor.author권진택-
dc.date.accessioned2022-12-26T09:21:08Z-
dc.date.available2022-12-26T09:21:08Z-
dc.date.issued2022-02-
dc.identifier.issn1738-4354-
dc.identifier.urihttps://scholarworks.gnu.ac.kr/handle/sw.gnu/2501-
dc.description.abstractThe purpose of this paper is to analyze the effects of the determinants of mobile number portability in telecommunication industry. Applying the basic theoretical framework of a general equilibrium migration model in local public finance, we employed simple time series analysis based on the Seemingly Unrelated Regression(SUR) model. According to the empirical analysis of the SUR model, we could find some meaningful relationship among the dependents and explanatory variables. The number of mobile users(the size effect), the subsidy payment per mobile users(inducement cost effect per new entrant), the subsidy payment difference(competition effect) and moving cost(cost effect) variables have been proved to influence meaningfully in the determinant of mobile number portability. The estimates from impulse response and variance decomposition analysis reveal that subsidy difference has been proved to be the most important factor contributing to the variance of the mobile number portability.-
dc.format.extent22-
dc.language한국어-
dc.language.isoKOR-
dc.publisher한국무역통상학회-
dc.title이동통신 시장의 번호이동요인 실증분석: 지역 간 이주모형으로 추정-
dc.title.alternativeAn Analysis on the Determinants of Mobile Number Portability-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.doi10.29331/JKRAIC.2022.2.22.1.31-
dc.identifier.bibliographicCitation무역통상학회지, v.22, no.1, pp 31 - 52-
dc.citation.title무역통상학회지-
dc.citation.volume22-
dc.citation.number1-
dc.citation.startPage31-
dc.citation.endPage52-
dc.identifier.kciidART002821782-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorA two jurisdiction general equilibrium model-
dc.subject.keywordAuthormobile number portability-
dc.subject.keywordAuthorseemingly unrelated regression-
dc.subject.keywordAuthorvariance decomposition-
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