시계열자료를 이용한 토지가격 형성요인에 관한 연구

A Study on the factors of the Land Price using Time-serial Data

As the change of the land prices is closely related to the quality of life as well as the productivity of industries, the need for the sufficient scientific and economic analysis and study of the land market has come to a forefront. The purpose of the study is to establish the model of land price in Seoul based on the joint model of ARIMA and Multiple regression, and to deduct the influence factors of the land prices.. The findings of this study showed that the hypothesis that the change of the land price was influenced by fundamental economic factors in Korea was confirmed through diverse analyses of the relationship between land price and variables. And it was found that the interest rate(3-year bond yield rate), real GDP and consumer prices index, had a more significant effect on the change of the land price compared to the other variables. The results suggest that it is needed to consider the changes of various economic variables and substitutes of land in terms of investment in the establishement of land price policy