인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
In the beginning of 2006, reporting of transaction price was mandated in the Korean real estate market. Due to the regulation, transaction price, the motst important market information, can be utilized to analyze the real estate market. As a result, a big change is required in price indexing. Before the release of real transaction value, price indices for apartment, the main housing type in Korea, were based on asking prices and Laspeyres formula. Due to both unreliability of price data and limitations of the price indexing method, there have been continuous debates on the price indices for apartments.
This study develops a new type of price index utilizing both transaction prices and asking prices in a modified form of repeat sales index. This methodology tries to overcome the well-known inefficiency problem of the basic repeat sales index and unreliability of asking prices. For the analysis, two years span of transaction price data in the Seoul apartment market is used. The results show that price indexing in a more detailed submarket level is possible in a statistically reliable level.
#수정반복매매모형
#실거래가
#동일주택가정
#시세
#modified repeat sales model
#real sale price
#same house definition
#SISE
#asking price)
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