메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
저널정보
한국부동산분석학회 부동산학연구 부동산학연구 제19권 제4호
발행연도
2013.1
수록면
121 - 135 (15page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
This research analyzes the long-run and short-run dynamic properties of apartment prices inSeoul by using quarterly time series data from 2006 to 2012. In order to analyze the long-rundynamic characteristics of apartment prices, market equilibrium prices are estimated by using areduced-form equation arising from the equilibrium condition of demand and supply. For analyzingthe short-run dynamic features of apartment prices, a price adjustment model is built and estimatedon the standpoints of serial correlation and mean reversion. In the first-stage of analysis, panelestimation with fixed effects of "Gu" dummy variables fits the data very well and all variables inthe equation have the expected signs and are statistically significant at the 5% level. Thesecond-stage of analysis uses the estimates of the equilibrium prices from the first-stage. Theempirical results show that house prices exhibit a strong serial correlation with a coefficient of0.489, and the rate of mean reversion is 0.165. The realizations of the estimated serial correlationand mean reversion are spread over 25 "Gu" regions. Sixty-seven percent of observations lie inthe no-oscillation and convergent region and another 32.2% falls in the no-oscillation andconvergent region which implies that during the sample period in Seoul, the movements ofapartment price can be largely explained by the long-run and short-run models, and there havebeen no sustainable apartment price bubbles.

목차

등록된 정보가 없습니다.

참고문헌 (13)

참고문헌 신청

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0