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서울시 주택소비심리와 권역별 주택가격의 시계열적 관계분석

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dc.contributor.author양혜선-
dc.contributor.author서원석-
dc.date.available2020-08-05T07:20:30Z-
dc.date.issued2020-06-
dc.identifier.issn2508-3384-
dc.identifier.issn2508-3392-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/42971-
dc.description.abstract본 연구는 서울시 5대 권역을 대상으로 주택소비심리와 주택매매가격 간 시계열적 인과관계를 파악하고 소비심리 변동이 권역별 주택가격에 미치는 영향을 그랜저인과(Granger Causality)모형과 VEC(Vector Error Correction)모형을 이용해 실증분석하였다. 주요 결과를 요약하면 첫째, 주택소비심리와 권역별 주택가격은 밀접한 관계가 있으며, 소비심리는 주택가격에 강하게 영향을 미치는 것으로 나타났다. 둘째, 주택소비심리는 단기적으로 서울시 권역별 주택매매 가격에 차별적인 영향을 미치고 있었는데, 동남권 주택가격은 서울 주택소비심리 변화의 주요한 원인으로 작용하며 이에 따른 영향은 비동남권으로 전이되는 것을 확인하였다. 셋째, 동남권 이외 권역은 주택심리가 긍정적임에 따라 장기적으로 주택가격을 상승시키지만, 동남권은 보합세가 나타나는 것으로 분석되었다. 넷째, 권역별 상대적 기여도의 경우 대체로 아파트가격 변동은 인접권역 또는 경쟁권역의 영향을 가장 많이 받는 것으로 파악되었다. 이러한 결과를 통해 본 연구는 주택소비심리와 서울시 권역별 주택가격이 상호 간 명확한 인과관계가 있다는 점과 권역 간에도 차별적인 주택소비심리 영향이 나타나고 있다는 점을 확인하였다.-
dc.description.abstractThis study investigated the time-series relationship between housing consumer sentiment and housing prices in the five major districts in Seoul and also analyzed the effect of the housing consumer sentiment on housing prices using Granger Causality and VEC (Vector Error Correction) models. To describe the key results, first of all, housing consumer sentiment and regional housing market prices were closely related to each other, and the consumer sentiment strongly affected the change of housing prices. Second, the housing consumer sentiment was confirmed to have a discriminatory effect on the housing prices among the districts in Seoul in the short term. Specifically, the housing price of the east southern district (ESD) was the main reason for the change in housing consumer sentiment in Seoul, and that the resulting impact was transferred to other districts. Third, it was analyzed that regions other than the ESD would increase the housing prices in the long term as the housing consumer sentiment turned posite, but that the ESD would see a steady tone. Fourth, in the case of relative influence by district, housing (apartment) price fluctuation in a district was generally found to be most affected by adjacent or competitive districts. Through these findings, this study confirmed that there is a clear causality between housing consumer sentiment and housing prices in each district of Seoul and that there is a discriminatory influence on housing consumer sentiment among the districts.-
dc.format.extent17-
dc.language한국어-
dc.language.isoKOR-
dc.publisher한국국토정보공사-
dc.title서울시 주택소비심리와 권역별 주택가격의 시계열적 관계분석-
dc.title.alternativeTime Series Analysis of the Relationship between Housing Consumer Sentiment and Regional Housing Prices in Seoul-
dc.typeArticle-
dc.identifier.doi10.22640/lxsiri.2020.50.1.125-
dc.identifier.bibliographicCitation지적과 국토정보, v.50, no.1, pp 125 - 141-
dc.identifier.kciidART002608445-
dc.description.isOpenAccessY-
dc.citation.endPage141-
dc.citation.number1-
dc.citation.startPage125-
dc.citation.title지적과 국토정보-
dc.citation.volume50-
dc.publisher.location대한민국-
dc.subject.keywordAuthor주택소비심리-
dc.subject.keywordAuthor주택가격-
dc.subject.keywordAuthor아파트-
dc.subject.keywordAuthor주택시장-
dc.subject.keywordAuthor그랜저인과분석-
dc.subject.keywordAuthor벡터오차수정모형-
dc.subject.keywordAuthorHousing Consumer Sentiment-
dc.subject.keywordAuthorHousing Price-
dc.subject.keywordAuthorHousing Market-
dc.subject.keywordAuthorApartment-
dc.subject.keywordAuthorGranger Causality-
dc.subject.keywordAuthorVECM (Vector Error Correction Model)-
dc.description.journalRegisteredClasskci-
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