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
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1. CONTENTS (1) RESEARCH OBJECTIVES This study and the government's housing policy analysis, the correlation between home sales price index for the future housing policy is aimed to propose.
(2) RESEARCH METHOD The study was method of regression analysis of time series analysis using the model housing-related policies and macroeconomic variables and examines the impact on housing prices. Analysis tools in Microsoft Office Excel 2007 and SPSS 20 statistic analysis of the technical tools such as correlation analysis and hierarchical regression analysis with dummy variables was performed through a technique.
(3) RESEARCH FINDINGS Regression analysis, the greatest impact on housing price index of leading economic factors, and then by the Korea Composite Stock Price Index, bond yields were analyzed in order to be influenced.
2. RESULTS Real estate price index of government policy as managing Composite Leading Indicators Index, accompanied by the development of a comprehensive index, and the trailing composite index of housing prices in advance and anticipate and respond to the need for appropriate housing policy is leading.
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