A Study on the Variables that Influence the Overall Housing Sales Price Index

This paper is conducted multiple regression analysis in order to analyze the impact of each of the variables affecting housing prices using real estate indices, macroeconomic indices, real estate-related indices as independent variables, the following conclusions are obtained. First, each of the independent variables in the final model showed significant correlation. Second, Housing purchase price composite indices in the Final model is as follows : Y=33.526+.138*(Housing jeonse price composite indices) -2.17E-05*(Unsold newly built apartments)+.929*(Mortgage interest) +3.529E-05*(Household loans)-.002*(The Korea Composite Stock Price Index)+.212*(Leading economic composite index)-.373*(Accompanied by economic composite index)+.471*(Producer Price Index). Finally, Housing purchase price composite indices in final model is showing 0 to 1.3% degree of acceptance by the index error. and there was also showing a similar trend shape aspects of Housing purchase price composite indices.