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.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2012.9
- 수록면
- 49 - 63 (15page)
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초록· 키워드
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Although housing prices is one of the key variables in explaining housing cycles, prior researches focused on national housing prices. Macro based researches roots on shortages of housing market statistics and efficiency oriented government policy. The need to study regional or civic housing markets are like these. First, real estate market is naturally a local market so fluctuation of housing prices are not same those of national housing market. Second, local fundamentals tend to have greater cyclical impacts than those of national or regional fundamentals.
In this study, prior studies and fundamental housing price theory was adopted to explaining housing price dynamics of each cities. According to housing price theory, it follows recent price housing price(serial correlation) and convert to its fundament housing prices(mean reversion) so housing dynamics of each cities can be explained to these theoretical concepts. This study base on these theoretical background and used empirical models of prior studies. Empirical results like these. First, There was not a patten about market value and fundamental value of each city because economic condition of each city was not same. Second, most of regional housing prices tend to have no oscillations and distribution of convergent market was about 50% percent of total market. This study has limitation in explaining housing price dynamics because time series data on regional housing market was not enough to find out empirical behavior. For example data on housing prices is not a real transaction based data but a market value of housing information company. However, this study can be a one of the first studies in this field and can be reference data understanding regional housing dynamics.
In this study, prior studies and fundamental housing price theory was adopted to explaining housing price dynamics of each cities. According to housing price theory, it follows recent price housing price(serial correlation) and convert to its fundament housing prices(mean reversion) so housing dynamics of each cities can be explained to these theoretical concepts. This study base on these theoretical background and used empirical models of prior studies. Empirical results like these. First, There was not a patten about market value and fundamental value of each city because economic condition of each city was not same. Second, most of regional housing prices tend to have no oscillations and distribution of convergent market was about 50% percent of total market. This study has limitation in explaining housing price dynamics because time series data on regional housing market was not enough to find out empirical behavior. For example data on housing prices is not a real transaction based data but a market value of housing information company. However, this study can be a one of the first studies in this field and can be reference data understanding regional housing dynamics.
목차
Abstract
Ⅰ. 연구의 배경 및 목적
Ⅱ. 이론적 배경 및 선행연구 분석
Ⅲ. 연구의 분석모델 및 자료
Ⅳ. 실증분석 결과
Ⅴ. 결론 및 정책적 시사점
참고문헌
참고문헌 (14)
참고문헌 신청
1. [학술지(정기간행물)] - 강민석 / 2005 / 주택경기 순환주기 분석 / 주택연구 13 (3) : 69 ~ 95
2. [학술지(정기간행물)] - 김관영 / 1998 / 주택시장의 경기변동에 관한 연구 / 주택연구 6 : 5 ~ 32
3. [학술지(정기간행물)] - 류강민 / 2010 / S&P/Case-Shiller 반복매매모형을 이용한 주택가격지수 산정에 관한 연구 / 주택연구 18 (2) : 183 ~ 204
4. [단행본] - 민인식 / 2010 / STATA 기초적 이해와 활용 / 한국 STATA학회
5. [단행본] - 민인식 / 2010 / STATA 페널데이터 분석 / 한국 STATA학회
2. [학술지(정기간행물)] - 김관영 / 1998 / 주택시장의 경기변동에 관한 연구 / 주택연구 6 : 5 ~ 32
3. [학술지(정기간행물)] - 류강민 / 2010 / S&P/Case-Shiller 반복매매모형을 이용한 주택가격지수 산정에 관한 연구 / 주택연구 18 (2) : 183 ~ 204
4. [단행본] - 민인식 / 2010 / STATA 기초적 이해와 활용 / 한국 STATA학회
5. [단행본] - 민인식 / 2010 / STATA 페널데이터 분석 / 한국 STATA학회
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UCI(KEPA) : I410-ECN-0101-2014-595-001106595