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.